Lucal code [1] [2] | |||||
---|---|---|---|---|---|
5 | 4 | 3 | 2 | 1 | |
Gray code | |||||
4 | 3 | 2 | 1 | ||
0 | 0 | 0 | 0 | 0 | 0 |
1 | 0 | 0 | 0 | 1 | 1 |
2 | 0 | 0 | 1 | 1 | 0 |
3 | 0 | 0 | 1 | 0 | 1 |
4 | 0 | 1 | 1 | 0 | 0 |
5 | 0 | 1 | 1 | 1 | 1 |
6 | 0 | 1 | 0 | 1 | 0 |
7 | 0 | 1 | 0 | 0 | 1 |
8 | 1 | 1 | 0 | 0 | 0 |
9 | 1 | 1 | 0 | 1 | 1 |
10 | 1 | 1 | 1 | 1 | 0 |
11 | 1 | 1 | 1 | 0 | 1 |
12 | 1 | 0 | 1 | 0 | 0 |
13 | 1 | 0 | 1 | 1 | 1 |
14 | 1 | 0 | 0 | 1 | 0 |
15 | 1 | 0 | 0 | 0 | 1 |
The reflected binary code (RBC), also known as reflected binary (RB) or Gray code after Frank Gray, is an ordering of the binary numeral system such that two successive values differ in only one bit (binary digit).
For example, the representation of the decimal value "1" in binary would normally be "001" and "2" would be "010". In Gray code, these values are represented as "001" and "011". That way, incrementing a value from 1 to 2 requires only one bit to change, instead of two.
Gray codes are widely used to prevent spurious output from electromechanical switches and to facilitate error correction in digital communications such as digital terrestrial television and some cable TV systems. The use of Gray code in these devices helps simplify logic operations and reduce errors in practice. [3]
Many devices indicate position by closing and opening switches. If that device uses natural binary codes, positions 3 and 4 are next to each other but all three bits of the binary representation differ:
Decimal | Binary |
---|---|
... | ... |
3 | 011 |
4 | 100 |
... | ... |
The problem with natural binary codes is that physical switches are not ideal: it is very unlikely that physical switches will change states exactly in synchrony. In the transition between the two states shown above, all three switches change state. In the brief period while all are changing, the switches will read some spurious position. Even without keybounce, the transition might look like 011 — 001 — 101 — 100. When the switches appear to be in position 001, the observer cannot tell if that is the "real" position 1, or a transitional state between two other positions. If the output feeds into a sequential system, possibly via combinational logic, then the sequential system may store a false value.
This problem can be solved by changing only one switch at a time, so there is never any ambiguity of position, resulting in codes assigning to each of a contiguous set of integers, or to each member of a circular list, a word of symbols such that no two code words are identical and each two adjacent code words differ by exactly one symbol. These codes are also known as unit-distance, [4] [5] [6] [7] [8] single-distance, single-step, monostrophic [9] [10] [7] [8] or syncopic codes, [9] in reference to the Hamming distance of 1 between adjacent codes.
In principle, there can be more than one such code for a given word length, but the term Gray code was first applied to a particular binary code for non-negative integers, the binary-reflected Gray code, or BRGC. Bell Labs researcher George R. Stibitz described such a code in a 1941 patent application, granted in 1943. [11] [12] [13] Frank Gray introduced the term reflected binary code in his 1947 patent application, remarking that the code had "as yet no recognized name". [14] He derived the name from the fact that it "may be built up from the conventional binary code by a sort of reflection process".
In the standard encoding of the Gray Code the least significant bit follows a repetitive pattern of 2 on, 2 off ( … 11001100 … ); the next digit a pattern of 4 on, 4 off; the i-th least significant bit a pattern of 2i on 2i off. The most significant digit is an exception to this: for an n-bit Gray code, the most significant digit follows the pattern 2n-1 on, 2n-1 off, which is the same (cyclic) sequence of values as for the second-most significant digit, but shifted forwards 2n-2 places. The four-bit version of this is shown below:
Decimal | Binary | Gray |
---|---|---|
0 | 0000 | 0000 |
1 | 0001 | 0001 |
2 | 0010 | 0011 |
3 | 0011 | 0010 |
4 | 0100 | 0110 |
5 | 0101 | 0111 |
6 | 0110 | 0101 |
7 | 0111 | 0100 |
8 | 1000 | 1100 |
9 | 1001 | 1101 |
10 | 1010 | 1111 |
11 | 1011 | 1110 |
12 | 1100 | 1010 |
13 | 1101 | 1011 |
14 | 1110 | 1001 |
15 | 1111 | 1000 |
For decimal 15 the code rolls over to decimal 0 with only one switch change. This is called the cyclic or adjacency property of the code. [15]
In modern digital communications, Gray codes play an important role in error correction. For example, in a digital modulation scheme such as QAM where data is typically transmitted in symbols of 4 bits or more, the signal's constellation diagram is arranged so that the bit patterns conveyed by adjacent constellation points differ by only one bit. By combining this with forward error correction capable of correcting single-bit errors, it is possible for a receiver to correct any transmission errors that cause a constellation point to deviate into the area of an adjacent point. This makes the transmission system less susceptible to noise.
Despite the fact that Stibitz described this code [11] [12] [13] before Gray, the reflected binary code was later named after Gray by others who used it. Two different 1953 patent applications use "Gray code" as an alternative name for the "reflected binary code"; [16] [17] one of those also lists "minimum error code" and "cyclic permutation code" among the names. [17] A 1954 patent application refers to "the Bell Telephone Gray code". [18] Other names include "cyclic binary code", [12] "cyclic progression code", [19] [12] "cyclic permuting binary" [20] or "cyclic permuted binary" (CPB). [21] [22]
The Gray code is sometimes misattributed to 19th century electrical device inventor Elisha Gray. [13] [23] [24] [25]
Reflected binary codes were applied to mathematical puzzles before they became known to engineers.
The binary-reflected Gray code represents the underlying scheme of the classical Chinese rings puzzle, a sequential mechanical puzzle mechanism described by the French Louis Gros in 1872. [26] [13]
It can serve as a solution guide for the Towers of Hanoi problem, based on a game by the French Édouard Lucas in 1883. [27] [28] [29] [30] Similarly, the so-called Towers of Bucharest and Towers of Klagenfurt game configurations yield ternary and pentary Gray codes. [31]
Martin Gardner wrote a popular account of the Gray code in his August 1972 Mathematical Games column in Scientific American. [32]
The code also forms a Hamiltonian cycle on a hypercube, where each bit is seen as one dimension.
When the French engineer Émile Baudot changed from using a 6-unit (6-bit) code to 5-unit code for his printing telegraph system, in 1875 [33] or 1876, [34] [35] he ordered the alphabetic characters on his print wheel using a reflected binary code, and assigned the codes using only three of the bits to vowels. With vowels and consonants sorted in their alphabetical order, [36] [37] [38] and other symbols appropriately placed, the 5-bit character code has been recognized as a reflected binary code. [13] This code became known as Baudot code [39] and, with minor changes, was eventually adopted as International Telegraph Alphabet No. 1 (ITA1, CCITT-1) in 1932. [40] [41] [38]
About the same time, the German-Austrian Otto Schäffler [42] demonstrated another printing telegraph in Vienna using a 5-bit reflected binary code for the same purpose, in 1874. [43] [13]
Frank Gray, who became famous for inventing the signaling method that came to be used for compatible color television, invented a method to convert analog signals to reflected binary code groups using vacuum tube-based apparatus. Filed in 1947, the method and apparatus were granted a patent in 1953, [14] and the name of Gray stuck to the codes. The "PCM tube" apparatus that Gray patented was made by Raymond W. Sears of Bell Labs, working with Gray and William M. Goodall, who credited Gray for the idea of the reflected binary code. [44]
Gray was most interested in using the codes to minimize errors in converting analog signals to digital; his codes are still used today for this purpose.
Gray codes are used in linear and rotary position encoders (absolute encoders and quadrature encoders) in preference to weighted binary encoding. This avoids the possibility that, when multiple bits change in the binary representation of a position, a misread will result from some of the bits changing before others.
For example, some rotary encoders provide a disk which has an electrically conductive Gray code pattern on concentric rings (tracks). Each track has a stationary metal spring contact that provides electrical contact to the conductive code pattern. Together, these contacts produce output signals in the form of a Gray code. Other encoders employ non-contact mechanisms based on optical or magnetic sensors to produce the Gray code output signals.
Regardless of the mechanism or precision of a moving encoder, position measurement error can occur at specific positions (at code boundaries) because the code may be changing at the exact moment it is read (sampled). A binary output code could cause significant position measurement errors because it is impossible to make all bits change at exactly the same time. If, at the moment the position is sampled, some bits have changed and others have not, the sampled position will be incorrect. In the case of absolute encoders, the indicated position may be far away from the actual position and, in the case of incremental encoders, this can corrupt position tracking.
In contrast, the Gray code used by position encoders ensures that the codes for any two consecutive positions will differ by only one bit and, consequently, only one bit can change at a time. In this case, the maximum position error will be small, indicating a position adjacent to the actual position.
Due to the Hamming distance properties of Gray codes, they are sometimes used in genetic algorithms. [15] They are very useful in this field, since mutations in the code allow for mostly incremental changes, but occasionally a single bit-change can cause a big leap and lead to new properties.
Gray codes are also used in labelling the axes of Karnaugh maps since 1953 [45] [46] [47] as well as in Händler circle graphs since 1958, [48] [49] [50] [51] both graphical methods for logic circuit minimization.
In modern digital communications, 1D- and 2D-Gray codes play an important role in error prevention before applying an error correction. For example, in a digital modulation scheme such as QAM where data is typically transmitted in symbols of 4 bits or more, the signal's constellation diagram is arranged so that the bit patterns conveyed by adjacent constellation points differ by only one bit. By combining this with forward error correction capable of correcting single-bit errors, it is possible for a receiver to correct any transmission errors that cause a constellation point to deviate into the area of an adjacent point. This makes the transmission system less susceptible to noise.
Digital logic designers use Gray codes extensively for passing multi-bit count information between synchronous logic that operates at different clock frequencies. The logic is considered operating in different "clock domains". It is fundamental to the design of large chips that operate with many different clocking frequencies.
If a system has to cycle sequentially through all possible combinations of on-off states of some set of controls, and the changes of the controls require non-trivial expense (e.g. time, wear, human work), a Gray code minimizes the number of setting changes to just one change for each combination of states. An example would be testing a piping system for all combinations of settings of its manually operated valves.
A balanced Gray code can be constructed, [52] that flips every bit equally often. Since bit-flips are evenly distributed, this is optimal in the following way: balanced Gray codes minimize the maximal count of bit-flips for each digit.
George R. Stibitz utilized a reflected binary code in a binary pulse counting device in 1941 already. [11] [12] [13]
A typical use of Gray code counters is building a FIFO (first-in, first-out) data buffer that has read and write ports that exist in different clock domains. The input and output counters inside such a dual-port FIFO are often stored using Gray code to prevent invalid transient states from being captured when the count crosses clock domains. [53] The updated read and write pointers need to be passed between clock domains when they change, to be able to track FIFO empty and full status in each domain. Each bit of the pointers is sampled non-deterministically for this clock domain transfer. So for each bit, either the old value or the new value is propagated. Therefore, if more than one bit in the multi-bit pointer is changing at the sampling point, a "wrong" binary value (neither new nor old) can be propagated. By guaranteeing only one bit can be changing, Gray codes guarantee that the only possible sampled values are the new or old multi-bit value. Typically Gray codes of power-of-two length are used.
Sometimes digital buses in electronic systems are used to convey quantities that can only increase or decrease by one at a time, for example the output of an event counter which is being passed between clock domains or to a digital-to-analog converter. The advantage of Gray codes in these applications is that differences in the propagation delays of the many wires that represent the bits of the code cannot cause the received value to go through states that are out of the Gray code sequence. This is similar to the advantage of Gray codes in the construction of mechanical encoders, however the source of the Gray code is an electronic counter in this case. The counter itself must count in Gray code, or if the counter runs in binary then the output value from the counter must be reclocked after it has been converted to Gray code, because when a value is converted from binary to Gray code, [nb 1] it is possible that differences in the arrival times of the binary data bits into the binary-to-Gray conversion circuit will mean that the code could go briefly through states that are wildly out of sequence. Adding a clocked register after the circuit that converts the count value to Gray code may introduce a clock cycle of latency, so counting directly in Gray code may be advantageous. [54]
To produce the next count value in a Gray-code counter, it is necessary to have some combinational logic that will increment the current count value that is stored. One way to increment a Gray code number is to convert it into ordinary binary code, [55] add one to it with a standard binary adder, and then convert the result back to Gray code. [56] Other methods of counting in Gray code are discussed in a report by Robert W. Doran, including taking the output from the first latches of the master-slave flip flops in a binary ripple counter. [57]
As the execution of program code typically causes an instruction memory access pattern of locally consecutive addresses, bus encodings using Gray code addressing instead of binary addressing can reduce the number of state changes of the address bits significantly, thereby reducing the CPU power consumption in some low-power designs. [58] [59]
The binary-reflected Gray code list for n bits can be generated recursively from the list for n − 1 bits by reflecting the list (i.e. listing the entries in reverse order), prefixing the entries in the original list with a binary 0, prefixing the entries in the reflected list with a binary 1, and then concatenating the original list with the reversed list. [13] For example, generating the n = 3 list from the n = 2 list:
2-bit list: | 00, 01, 11, 10 | |
Reflected: | 10, 11, 01, 00 | |
Prefix old entries with 0: | 000, 001, 011, 010, | |
Prefix new entries with 1: | 110, 111, 101, 100 | |
Concatenated: | 000, 001, 011, 010, | 110, 111, 101, 100 |
The one-bit Gray code is G1 = (0,1). This can be thought of as built recursively as above from a zero-bit Gray code G0 = ( Λ ) consisting of a single entry of zero length. This iterative process of generating Gn+1 from Gn makes the following properties of the standard reflecting code clear:
These characteristics suggest a simple and fast method of translating a binary value into the corresponding Gray code. Each bit is inverted if the next higher bit of the input value is set to one. This can be performed in parallel by a bit-shift and exclusive-or operation if they are available: the nth Gray code is obtained by computing . Prepending a 0 bit leaves the order of the code words unchanged, prepending a 1 bit reverses the order of the code words. If the bits at position of codewords are inverted, the order of neighbouring blocks of codewords is reversed. For example, if bit 0 is inverted in a 3 bit codeword sequence, the order of two neighbouring codewords is reversed
If bit 1 is inverted, blocks of 2 codewords change order:
If bit 2 is inverted, blocks of 4 codewords reverse order:
Thus, performing an exclusive or on a bit at position with the bit at position leaves the order of codewords intact if , and reverses the order of blocks of codewords if . Now, this is exactly the same operation as the reflect-and-prefix method to generate the Gray code.
A similar method can be used to perform the reverse translation, but the computation of each bit depends on the computed value of the next higher bit so it cannot be performed in parallel. Assuming is the th Gray-coded bit ( being the most significant bit), and is the th binary-coded bit ( being the most-significant bit), the reverse translation can be given recursively: , and . Alternatively, decoding a Gray code into a binary number can be described as a prefix sum of the bits in the Gray code, where each individual summation operation in the prefix sum is performed modulo two.
To construct the binary-reflected Gray code iteratively, at step 0 start with the , and at step find the bit position of the least significant 1 in the binary representation of and flip the bit at that position in the previous code to get the next code . The bit positions start 0, 1, 0, 2, 0, 1, 0, 3, .... [nb 2] See find first set for efficient algorithms to compute these values.
The following functions in C convert between binary numbers and their associated Gray codes. While it may seem that Gray-to-binary conversion requires each bit to be handled one at a time, faster algorithms exist. [60] [55] [nb 1]
typedefunsignedintuint;// This function converts an unsigned binary number to reflected binary Gray code.uintBinaryToGray(uintnum){returnnum^(num>>1);// The operator >> is shift right. The operator ^ is exclusive or.}// This function converts a reflected binary Gray code number to a binary number.uintGrayToBinary(uintnum){uintmask=num;while(mask){// Each Gray code bit is exclusive-ored with all more significant bits.mask>>=1;num^=mask;}returnnum;}// A more efficient version for Gray codes 32 bits or fewer through the use of SWAR (SIMD within a register) techniques. // It implements a parallel prefix XOR function. The assignment statements can be in any order.// // This function can be adapted for longer Gray codes by adding steps.uintGrayToBinary32(uintnum){num^=num>>16;num^=num>>8;num^=num>>4;num^=num>>2;num^=num>>1;returnnum;}// A Four-bit-at-once variant changes a binary number (abcd)2 to (abcd)2 ^ (00ab)2, then to (abcd)2 ^ (00ab)2 ^ (0abc)2 ^ (000a)2.
On newer processors, the number of ALU instructions in the decoding step can be reduced by taking advantage of the CLMUL instruction set. If MASK is the constant binary string of ones ended with a single zero digit, then carryless multiplication of MASK with the grey encoding of x will always give either x or its bitwise negation.
In practice, "Gray code" almost always refers to a binary-reflected Gray code (BRGC). However, mathematicians have discovered other kinds of Gray codes. Like BRGCs, each consists of a list of words, where each word differs from the next in only one digit (each word has a Hamming distance of 1 from the next word).
It is possible to construct binary Gray codes with n bits with a length of less than 2n, if the length is even. One possibility is to start with a balanced Gray code and remove pairs of values at either the beginning and the end, or in the middle. [61] OEIS sequence A290772 [62] gives the number of possible Gray sequences of length 2n that include zero and use the minimum number of bits.
|
There are many specialized types of Gray codes other than the binary-reflected Gray code. One such type of Gray code is the n-ary Gray code, also known as a non-Boolean Gray code. As the name implies, this type of Gray code uses non-Boolean values in its encodings.
For example, a 3-ary (ternary) Gray code would use the values 0,1,2. [31] The (n, k)-Gray code is the n-ary Gray code with k digits. [63] The sequence of elements in the (3, 2)-Gray code is: 00,01,02,12,11,10,20,21,22. The (n, k)-Gray code may be constructed recursively, as the BRGC, or may be constructed iteratively. An algorithm to iteratively generate the (N, k)-Gray code is presented (in C):
// inputs: base, digits, value// output: Gray// Convert a value to a Gray code with the given base and digits.// Iterating through a sequence of values would result in a sequence// of Gray codes in which only one digit changes at a time.voidtoGray(unsignedbase,unsigneddigits,unsignedvalue,unsignedgray[digits]){unsignedbaseN[digits];// Stores the ordinary base-N number, one digit per entryunsignedi;// The loop variable// Put the normal baseN number into the baseN array. For base 10, 109 // would be stored as [9,0,1]for(i=0;i<digits;i++){baseN[i]=value%base;value=value/base;}// Convert the normal baseN number into the Gray code equivalent. Note that// the loop starts at the most significant digit and goes down.unsignedshift=0;while(i--){// The Gray digit gets shifted down by the sum of the higher// digits.gray[i]=(baseN[i]+shift)%base;shift=shift+base-gray[i];// Subtract from base so shift is positive}}// EXAMPLES// input: value = 1899, base = 10, digits = 4// output: baseN[] = [9,9,8,1], gray[] = [0,1,7,1]// input: value = 1900, base = 10, digits = 4// output: baseN[] = [0,0,9,1], gray[] = [0,1,8,1]
There are other Gray code algorithms for (n,k)-Gray codes. The (n,k)-Gray code produced by the above algorithm is always cyclical; some algorithms, such as that by Guan, [63] lack this property when k is odd. On the other hand, while only one digit at a time changes with this method, it can change by wrapping (looping from n − 1 to 0). In Guan's algorithm, the count alternately rises and falls, so that the numeric difference between two Gray code digits is always one.
Gray codes are not uniquely defined, because a permutation of the columns of such a code is a Gray code too. The above procedure produces a code in which the lower the significance of a digit, the more often it changes, making it similar to normal counting methods.
See also Skew binary number system, a variant ternary number system where at most two digits change on each increment, as each increment can be done with at most one digit carry operation.
Although the binary reflected Gray code is useful in many scenarios, it is not optimal in certain cases because of a lack of "uniformity". [52] In balanced Gray codes, the number of changes in different coordinate positions are as close as possible. To make this more precise, let G be an R-ary complete Gray cycle having transition sequence ; the transition counts (spectrum) of G are the collection of integers defined by
A Gray code is uniform or uniformly balanced if its transition counts are all equal, in which case we have for all k. Clearly, when , such codes exist only if n is a power of 2. [64] If n is not a power of 2, it is possible to construct well-balanced binary codes where the difference between two transition counts is at most 2; so that (combining both cases) every transition count is either or . [52] Gray codes can also be exponentially balanced if all of their transition counts are adjacent powers of two, and such codes exist for every power of two. [65]
For example, a balanced 4-bit Gray code has 16 transitions, which can be evenly distributed among all four positions (four transitions per position), making it uniformly balanced: [52]
whereas a balanced 5-bit Gray code has a total of 32 transitions, which cannot be evenly distributed among the positions. In this example, four positions have six transitions each, and one has eight: [52]
We will now show a construction [66] and implementation [67] for well-balanced binary Gray codes which allows us to generate an n-digit balanced Gray code for every n. The main principle is to inductively construct an (n + 2)-digit Gray code given an n-digit Gray code G in such a way that the balanced property is preserved. To do this, we consider partitions of into an even number L of non-empty blocks of the form
where , , and ). This partition induces an -digit Gray code given by
If we define the transition multiplicities
to be the number of times the digit in position i changes between consecutive blocks in a partition, then for the (n + 2)-digit Gray code induced by this partition the transition spectrum is
The delicate part of this construction is to find an adequate partitioning of a balanced n-digit Gray code such that the code induced by it remains balanced, but for this only the transition multiplicities matter; joining two consecutive blocks over a digit transition and splitting another block at another digit transition produces a different Gray code with exactly the same transition spectrum , so one may for example [65] designate the first transitions at digit as those that fall between two blocks. Uniform codes can be found when and , and this construction can be extended to the R-ary case as well. [66]
Long run (or maximum gap) Gray codes maximize the distance between consecutive changes of digits in the same position. That is, the minimum run-length of any bit remains unchanged for as long as possible. [68]
Monotonic codes are useful in the theory of interconnection networks, especially for minimizing dilation for linear arrays of processors. [69] If we define the weight of a binary string to be the number of 1s in the string, then although we clearly cannot have a Gray code with strictly increasing weight, we may want to approximate this by having the code run through two adjacent weights before reaching the next one.
We can formalize the concept of monotone Gray codes as follows: consider the partition of the hypercube into levels of vertices that have equal weight, i.e.
for . These levels satisfy . Let be the subgraph of induced by , and let be the edges in . A monotonic Gray code is then a Hamiltonian path in such that whenever comes before in the path, then .
An elegant construction of monotonic n-digit Gray codes for any n is based on the idea of recursively building subpaths of length having edges in . [69] We define , whenever or , and
otherwise. Here, is a suitably defined permutation and refers to the path P with its coordinates permuted by . These paths give rise to two monotonic n-digit Gray codes and given by
The choice of which ensures that these codes are indeed Gray codes turns out to be . The first few values of are shown in the table below.
j = 0 | j = 1 | j = 2 | j = 3 | |
---|---|---|---|---|
n = 1 | 0, 1 | |||
n = 2 | 00, 01 | 10, 11 | ||
n = 3 | 000, 001 | 100, 110, 010, 011 | 101, 111 | |
n = 4 | 0000, 0001 | 1000, 1100, 0100, 0110, 0010, 0011 | 1010, 1011, 1001, 1101, 0101, 0111 | 1110, 1111 |
These monotonic Gray codes can be efficiently implemented in such a way that each subsequent element can be generated in O(n) time. The algorithm is most easily described using coroutines.
Monotonic codes have an interesting connection to the Lovász conjecture, which states that every connected vertex-transitive graph contains a Hamiltonian path. The "middle-level" subgraph is vertex-transitive (that is, its automorphism group is transitive, so that each vertex has the same "local environment" and cannot be differentiated from the others, since we can relabel the coordinates as well as the binary digits to obtain an automorphism) and the problem of finding a Hamiltonian path in this subgraph is called the "middle-levels problem", which can provide insights into the more general conjecture. The question has been answered affirmatively for , and the preceding construction for monotonic codes ensures a Hamiltonian path of length at least 0.839 N, where N is the number of vertices in the middle-level subgraph. [70]
Another type of Gray code, the Beckett–Gray code, is named for Irish playwright Samuel Beckett, who was interested in symmetry. His play "Quad" features four actors and is divided into sixteen time periods. Each period ends with one of the four actors entering or leaving the stage. The play begins and ends with an empty stage, and Beckett wanted each subset of actors to appear on stage exactly once. [71] Clearly the set of actors currently on stage can be represented by a 4-bit binary Gray code. Beckett, however, placed an additional restriction on the script: he wished the actors to enter and exit so that the actor who had been on stage the longest would always be the one to exit. The actors could then be represented by a first in, first out queue, so that (of the actors onstage) the actor being dequeued is always the one who was enqueued first. [71] Beckett was unable to find a Beckett–Gray code for his play, and indeed, an exhaustive listing of all possible sequences reveals that no such code exists for n = 4. It is known today that such codes do exist for n = 2, 5, 6, 7, and 8, and do not exist for n = 3 or 4. An example of an 8-bit Beckett–Gray code can be found in Donald Knuth's Art of Computer Programming. [13] According to Sawada and Wong, the search space for n = 6 can be explored in 15 hours, and more than 9500 solutions for the case n = 7 have been found. [72]
Snake-in-the-box codes, or snakes, are the sequences of nodes of induced paths in an n-dimensional hypercube graph, and coil-in-the-box codes, [73] or coils, are the sequences of nodes of induced cycles in a hypercube. Viewed as Gray codes, these sequences have the property of being able to detect any single-bit coding error. Codes of this type were first described by William H. Kautz in the late 1950s; [5] since then, there has been much research on finding the code with the largest possible number of codewords for a given hypercube dimension.
Yet another kind of Gray code is the single-track Gray code (STGC) developed by Norman B. Spedding [74] [75] and refined by Hiltgen, Paterson and Brandestini in Single-track Gray Codes (1996). [76] [77] The STGC is a cyclical list of P unique binary encodings of length n such that two consecutive words differ in exactly one position, and when the list is examined as a P × n matrix, each column is a cyclic shift of the first column. [78]
The name comes from their use with rotary encoders, where a number of tracks are being sensed by contacts, resulting for each in an output of 0 or 1. To reduce noise due to different contacts not switching at exactly the same moment in time, one preferably sets up the tracks so that the data output by the contacts are in Gray code. To get high angular accuracy, one needs lots of contacts; in order to achieve at least 1° accuracy, one needs at least 360 distinct positions per revolution, which requires a minimum of 9 bits of data, and thus the same number of contacts.
If all contacts are placed at the same angular position, then 9 tracks are needed to get a standard BRGC with at least 1° accuracy. However, if the manufacturer moves a contact to a different angular position (but at the same distance from the center shaft), then the corresponding "ring pattern" needs to be rotated the same angle to give the same output. If the most significant bit (the inner ring in Figure 1) is rotated enough, it exactly matches the next ring out. Since both rings are then identical, the inner ring can be cut out, and the sensor for that ring moved to the remaining, identical ring (but offset at that angle from the other sensor on that ring). Those two sensors on a single ring make a quadrature encoder. That reduces the number of tracks for a "1° resolution" angular encoder to 8 tracks. Reducing the number of tracks still further cannot be done with BRGC.
For many years, Torsten Sillke [79] and other mathematicians believed that it was impossible to encode position on a single track such that consecutive positions differed at only a single sensor, except for the 2-sensor, 1-track quadrature encoder. So for applications where 8 tracks were too bulky, people used single-track incremental encoders (quadrature encoders) or 2-track "quadrature encoder + reference notch" encoders.
Norman B. Spedding, however, registered a patent in 1994 with several examples showing that it was possible. [74] Although it is not possible to distinguish 2n positions with n sensors on a single track, it is possible to distinguish close to that many. Etzion and Paterson conjecture that when n is itself a power of 2, n sensors can distinguish at most 2n − 2n positions and that for prime n the limit is 2n − 2 positions. [80] The authors went on to generate a 504-position single track code of length 9 which they believe is optimal. Since this number is larger than 28 = 256, more than 8 sensors are required by any code, although a BRGC could distinguish 512 positions with 9 sensors.
An STGC for P = 30 and n = 5 is reproduced here:
Angle | Code | Angle | Code | Angle | Code | Angle | Code | Angle | Code | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0° | 10000 | 72° | 01000 | 144° | 00100 | 216° | 00010 | 288° | 00001 | ||||
12° | 10100 | 84° | 01010 | 156° | 00101 | 228° | 10010 | 300° | 01001 | ||||
24° | 11100 | 96° | 01110 | 168° | 00111 | 240° | 10011 | 312° | 11001 | ||||
36° | 11110 | 108° | 01111 | 180° | 10111 | 252° | 11011 | 324° | 11101 | ||||
48° | 11010 | 120° | 01101 | 192° | 10110 | 264° | 01011 | 336° | 10101 | ||||
60° | 11000 | 132° | 01100 | 204° | 00110 | 276° | 00011 | 348° | 10001 |
Each column is a cyclic shift of the first column, and from any row to the next row only one bit changes. [81] The single-track nature (like a code chain) is useful in the fabrication of these wheels (compared to BRGC), as only one track is needed, thus reducing their cost and size. The Gray code nature is useful (compared to chain codes, also called De Bruijn sequences), as only one sensor will change at any one time, so the uncertainty during a transition between two discrete states will only be plus or minus one unit of angular measurement the device is capable of resolving. [82]
Since this 30 degree example was added, there has been a lot of interest in examples with higher angular resolution. In 2008, Gary Williams, [83] based on previous work [80] discovered a 9-bit Single Track Gray Code that gives a 1 degree resolution. This gray code was used to design an actual device which was published on the site Thingiverse. This device [84] was designed by etzenseep (Florian Bauer) in September, 2022.
An STGC for P = 360 and n = 9 is reproduced here:
Angle | Code | Angle | Code | Angle | Code | Angle | Code | Angle | Code | Angle | Code | Angle | Code | Angle | Code | Angle | Code | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0° | 100000001 | 40° | 000000011 | 80° | 000000110 | 120° | 000001100 | 160° | 000011000 | 200° | 000110000 | 240° | 001100000 | 280° | 011000000 | 320° | 110000000 | |||||||||
1° | 110000001 | 41° | 100000011 | 81° | 000000111 | 121° | 000001110 | 161° | 000011100 | 201° | 000111000 | 241° | 001110000 | 281° | 011100000 | 321° | 111000000 | |||||||||
2° | 111000001 | 42° | 110000011 | 82° | 100000111 | 122° | 000001111 | 162° | 000011110 | 202° | 000111100 | 242° | 001111000 | 282° | 011110000 | 322° | 111100000 | |||||||||
3° | 111000011 | 43° | 110000111 | 83° | 100001111 | 123° | 000011111 | 163° | 000111110 | 203° | 001111100 | 243° | 011111000 | 283° | 111110000 | 323° | 111100001 | |||||||||
4° | 111000111 | 44° | 110001111 | 84° | 100011111 | 124° | 000111111 | 164° | 001111110 | 204° | 011111100 | 244° | 111111000 | 284° | 111110001 | 324° | 111100011 | |||||||||
5° | 111001111 | 45° | 110011111 | 85° | 100111111 | 125° | 001111111 | 165° | 011111110 | 205° | 111111100 | 245° | 111111001 | 285° | 111110011 | 325° | 111100111 | |||||||||
6° | 111011111 | 46° | 110111111 | 86° | 101111111 | 126° | 011111111 | 166° | 111111110 | 206° | 111111101 | 246° | 111111011 | 286° | 111110111 | 326° | 111101111 | |||||||||
7° | 111011011 | 47° | 110110111 | 87° | 101101111 | 127° | 011011111 | 167° | 110111110 | 207° | 101111101 | 247° | 011111011 | 287° | 111110110 | 327° | 111101101 | |||||||||
8° | 101011011 | 48° | 010110111 | 88° | 101101110 | 128° | 011011101 | 168° | 110111010 | 208° | 101110101 | 248° | 011101011 | 288° | 111010110 | 328° | 110101101 | |||||||||
9° | 101011111 | 49° | 010111111 | 89° | 101111110 | 129° | 011111101 | 169° | 111111010 | 209° | 111110101 | 249° | 111101011 | 289° | 111010111 | 329° | 110101111 | |||||||||
10° | 101011101 | 50° | 010111011 | 90° | 101110110 | 130° | 011101101 | 170° | 111011010 | 210° | 110110101 | 250° | 101101011 | 290° | 011010111 | 330° | 110101110 | |||||||||
11° | 101010101 | 51° | 010101011 | 91° | 101010110 | 131° | 010101101 | 171° | 101011010 | 211° | 010110101 | 251° | 101101010 | 291° | 011010101 | 331° | 110101010 | |||||||||
12° | 101010111 | 52° | 010101111 | 92° | 101011110 | 132° | 010111101 | 172° | 101111010 | 212° | 011110101 | 252° | 111101010 | 292° | 111010101 | 332° | 110101011 | |||||||||
13° | 101110111 | 53° | 011101111 | 93° | 111011110 | 133° | 110111101 | 173° | 101111011 | 213° | 011110111 | 253° | 111101110 | 293° | 111011101 | 333° | 110111011 | |||||||||
14° | 001110111 | 54° | 011101110 | 94° | 111011100 | 134° | 110111001 | 174° | 101110011 | 214° | 011100111 | 254° | 111001110 | 294° | 110011101 | 334° | 100111011 | |||||||||
15° | 001010111 | 55° | 010101110 | 95° | 101011100 | 135° | 010111001 | 175° | 101110010 | 215° | 011100101 | 255° | 111001010 | 295° | 110010101 | 335° | 100101011 | |||||||||
16° | 001011111 | 56° | 010111110 | 96° | 101111100 | 136° | 011111001 | 176° | 111110010 | 216° | 111100101 | 256° | 111001011 | 296° | 110010111 | 336° | 100101111 | |||||||||
17° | 001011011 | 57° | 010110110 | 97° | 101101100 | 137° | 011011001 | 177° | 110110010 | 217° | 101100101 | 257° | 011001011 | 297° | 110010110 | 337° | 100101101 | |||||||||
18° | 001011001 | 58° | 010110010 | 98° | 101100100 | 138° | 011001001 | 178° | 110010010 | 218° | 100100101 | 258° | 001001011 | 298° | 010010110 | 338° | 100101100 | |||||||||
19° | 001111001 | 59° | 011110010 | 99° | 111100100 | 139° | 111001001 | 179° | 110010011 | 219° | 100100111 | 259° | 001001111 | 299° | 010011110 | 339° | 100111100 | |||||||||
20° | 001111101 | 60° | 011111010 | 100° | 111110100 | 140° | 111101001 | 180° | 111010011 | 220° | 110100111 | 260° | 101001111 | 300° | 010011111 | 340° | 100111110 | |||||||||
21° | 000111101 | 61° | 001111010 | 101° | 011110100 | 141° | 111101000 | 181° | 111010001 | 221° | 110100011 | 261° | 101000111 | 301° | 010001111 | 341° | 100011110 | |||||||||
22° | 000110101 | 62° | 001101010 | 102° | 011010100 | 142° | 110101000 | 182° | 101010001 | 222° | 010100011 | 262° | 101000110 | 302° | 010001101 | 342° | 100011010 | |||||||||
23° | 000100101 | 63° | 001001010 | 103° | 010010100 | 143° | 100101000 | 183° | 001010001 | 223° | 010100010 | 263° | 101000100 | 303° | 010001001 | 343° | 100010010 | |||||||||
24° | 000101101 | 64° | 001011010 | 104° | 010110100 | 144° | 101101000 | 184° | 011010001 | 224° | 110100010 | 264° | 101000101 | 304° | 010001011 | 344° | 100010110 | |||||||||
25° | 000101001 | 65° | 001010010 | 105° | 010100100 | 145° | 101001000 | 185° | 010010001 | 225° | 100100010 | 265° | 001000101 | 305° | 010001010 | 345° | 100010100 | |||||||||
26° | 000111001 | 66° | 001110010 | 106° | 011100100 | 146° | 111001000 | 186° | 110010001 | 226° | 100100011 | 266° | 001000111 | 306° | 010001110 | 346° | 100011100 | |||||||||
27° | 000110001 | 67° | 001100010 | 107° | 011000100 | 147° | 110001000 | 187° | 100010001 | 227° | 000100011 | 267° | 001000110 | 307° | 010001100 | 347° | 100011000 | |||||||||
28° | 000010001 | 68° | 000100010 | 108° | 001000100 | 148° | 010001000 | 188° | 100010000 | 228° | 000100001 | 268° | 001000010 | 308° | 010000100 | 348° | 100001000 | |||||||||
29° | 000011001 | 69° | 000110010 | 109° | 001100100 | 149° | 011001000 | 189° | 110010000 | 229° | 100100001 | 269° | 001000011 | 309° | 010000110 | 349° | 100001100 | |||||||||
30° | 000001001 | 70° | 000010010 | 110° | 000100100 | 150° | 001001000 | 190° | 010010000 | 230° | 100100000 | 270° | 001000001 | 310° | 010000010 | 350° | 100000100 | |||||||||
31° | 100001001 | 71° | 000010011 | 111° | 000100110 | 151° | 001001100 | 191° | 010011000 | 231° | 100110000 | 271° | 001100001 | 311° | 011000010 | 351° | 110000100 | |||||||||
32° | 100001101 | 72° | 000011011 | 112° | 000110110 | 152° | 001101100 | 192° | 011011000 | 232° | 110110000 | 272° | 101100001 | 312° | 011000011 | 352° | 110000110 | |||||||||
33° | 100000101 | 73° | 000001011 | 113° | 000010110 | 153° | 000101100 | 193° | 001011000 | 233° | 010110000 | 273° | 101100000 | 313° | 011000001 | 353° | 110000010 | |||||||||
34° | 110000101 | 74° | 100001011 | 114° | 000010111 | 154° | 000101110 | 194° | 001011100 | 234° | 010111000 | 274° | 101110000 | 314° | 011100001 | 354° | 111000010 | |||||||||
35° | 010000101 | 75° | 100001010 | 115° | 000010101 | 155° | 000101010 | 195° | 001010100 | 235° | 010101000 | 275° | 101010000 | 315° | 010100001 | 355° | 101000010 | |||||||||
36° | 010000111 | 76° | 100001110 | 116° | 000011101 | 156° | 000111010 | 196° | 001110100 | 236° | 011101000 | 276° | 111010000 | 316° | 110100001 | 356° | 101000011 | |||||||||
37° | 010000011 | 77° | 100000110 | 117° | 000001101 | 157° | 000011010 | 197° | 000110100 | 237° | 001101000 | 277° | 011010000 | 317° | 110100000 | 357° | 101000001 | |||||||||
38° | 010000001 | 78° | 100000010 | 118° | 000000101 | 158° | 000001010 | 198° | 000010100 | 238° | 000101000 | 278° | 001010000 | 318° | 010100000 | 358° | 101000000 | |||||||||
39° | 000000001 | 79° | 000000010 | 119° | 000000100 | 159° | 000001000 | 199° | 000010000 | 239° | 000100000 | 279° | 001000000 | 319° | 010000000 | 359° | 100000000 |
Starting Angle | Ending Angle | Length | |
---|---|---|---|
3 | 4 | 2 | |
23 | 28 | 6 | |
31 | 37 | 7 | |
44 | 48 | 5 | |
56 | 60 | 5 | |
64 | 71 | 8 | |
74 | 76 | 3 | |
88 | 91 | 4 | |
94 | 96 | 3 | |
99 | 104 | 6 | |
110 | 115 | 6 | |
131 | 134 | 4 | |
138 | 154 | 17 | |
173 | 181 | 9 | |
186 | 187 | 2 | |
220 | 238 | 19 | |
242 | 246 | 5 | |
273 | 279 | 7 | |
286 | 289 | 4 | |
307 | 360 | 54 |
Two-dimensional Gray codes are used in communication to minimize the number of bit errors in quadrature amplitude modulation (QAM) adjacent points in the constellation. In a typical encoding the horizontal and vertical adjacent constellation points differ by a single bit, and diagonal adjacent points differ by 2 bits. [85]
Two-dimensional Gray codes also have uses in location identifications schemes, where the code would be applied to area maps such as a Mercator projection of the earth's surface and an appropriate cyclic two-dimensional distance function such as the Mannheim metric be used to calculate the distance between two encoded locations, thereby combining the characteristics of the Hamming distance with the cyclic continuation of a Mercator projection. [86]
If a subsection of a specific codevalue is extracted from that value, for example the last 3 bits of a 4-bit gray-code, the resulting code will be an "excess gray code". This code shows the property of counting backwards in those extracted bits if the original value is further increased. Reason for this is that gray-encoded values do not show the behaviour of overflow, known from classic binary encoding, when increasing past the "highest" value.
Example: The highest 3-bit gray code, 7, is encoded as (0)100. Adding 1 results in number 8, encoded in gray as 1100. The last 3 bits do not overflow and count backwards if you further increase the original 4 bit code.
When working with sensors that output multiple, gray-encoded values in a serial fashion, one should therefore pay attention whether the sensor produces those multiple values encoded in 1 single gray-code or as separate ones, as otherwise the values might appear to be counting backwards when an "overflow" is expected.
The bijective mapping { 0 ↔ 00, 1 ↔ 01, 2 ↔ 11, 3 ↔ 10 } establishes an isometry between the metric space over the finite field with the metric given by the Hamming distance and the metric space over the finite ring (the usual modular arithmetic) with the metric given by the Lee distance. The mapping is suitably extended to an isometry of the Hamming spaces and . Its importance lies in establishing a correspondence between various "good" but not necessarily linear codes as Gray-map images in of ring-linear codes from . [87] [88]
![]() | This section may contain an excessive number of citations . The details given are: Too many references makes the text hard to read.(March 2021) |
There are a number of binary codes similar to Gray codes, including:
The following binary-coded decimal (BCD) codes are Gray code variants as well:
Name | Bit | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | Weights [nb 7] | Tracks | Compl. | Cyclic | 5s | Comment |
Gray BCD | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0—3 | 4 (3 [nb 8] ) | No | (2, 4, 8, 16) | No | [110] [111] |
3 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | |||||||
2 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | |||||||
1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | |||||||
Paul | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1—3 | 4 (3 [nb 8] ) | No | 2, 10 | No | [125] |
3 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | |||||||
2 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | |||||||
1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | |||||||
Glixon | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0—3 | 4 | No | 2, 4, 8, 10 | (shifted +1) | [122] [110] [111] [123] [124] [nb 5] |
3 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | |||||||
2 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | |||||||
1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | |||||||
Tompkins I | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0—4 | 2 | No | 2, 4, 10 | Yes | [4] [110] [111] |
3 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | |||||||
2 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | |||||||
1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | |||||||
O'Brien I(Watts) | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0—3 | 4 | 9 [103] [104] [nb 9] | 2, 4, 10 | Yes | [109] [110] [111] [nb 5] |
3 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | |||||||
2 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | |||||||
1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | |||||||
Petherick(RAE) | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1—3 | 3 | 9 [103] [104] [nb 9] | 2, 10 | Yes | [19] [107] [nb 4] |
3 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | |||||||
2 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | |||||||
1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | |||||||
O'Brien II | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1—3 | 3 | 9 [91] [103] [104] [nb 9] | 2, 10 | Yes | [109] [110] [111] [nb 4] |
3 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | |||||||
2 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | |||||||
1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | |||||||
Susskind | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1—4 | 3 | 9 [nb 9] | 2, 10 | Yes | [6] |
3 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | |||||||
2 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | |||||||
1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | |||||||
Klar | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0—4 | 4 (3 [nb 8] ) | 9 [nb 9] | 2, 10 | Yes | [126] [127] |
3 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | |||||||
2 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | |||||||
1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | |||||||
Tompkins II | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1—3 | 2 | 9 [nb 10] | 2, 10 | Yes | [4] [110] [111] |
3 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | |||||||
2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | |||||||
1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | |||||||
Excess-3 Gray | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1—4 | 4 | 9 [103] [104] [nb 9] | 2, 10 | Yes | [8] [103] |
3 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | |||||||
2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | |||||||
1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 |
In computing and electronic systems, binary-coded decimal (BCD) is a class of binary encodings of decimal numbers where each digit is represented by a fixed number of bits, usually four or eight. Sometimes, special bit patterns are used for a sign or other indications.
In computing, floating-point arithmetic (FP) is arithmetic that represents subsets of real numbers using an integer with a fixed precision, called the significand, scaled by an integer exponent of a fixed base. Numbers of this form are called floating-point numbers. For example, 12.345 is a floating-point number in base ten with five digits of precision:
In mathematics and computing, the hexadecimal numeral system is a positional numeral system that represents numbers using a radix (base) of sixteen. Unlike the decimal system representing numbers using ten symbols, hexadecimal uses sixteen distinct symbols, most often the symbols "0"–"9" to represent values 0 to 9 and "A"–"F" to represent values from ten to fifteen.
Octal is a numeral system with eight as the base.
In mathematics and computing, Fibonacci coding is a universal code which encodes positive integers into binary code words. It is one example of representations of integers based on Fibonacci numbers. Each code word ends with "11" and contains no other instances of "11" before the end.
Double-precision floating-point format is a floating-point number format, usually occupying 64 bits in computer memory; it represents a wide dynamic range of numeric values by using a floating radix point.
Arithmetic coding (AC) is a form of entropy encoding used in lossless data compression. Normally, a string of characters is represented using a fixed number of bits per character, as in the ASCII code. When a string is converted to arithmetic encoding, frequently used characters will be stored with fewer bits and not-so-frequently occurring characters will be stored with more bits, resulting in fewer bits used in total. Arithmetic coding differs from other forms of entropy encoding, such as Huffman coding, in that rather than separating the input into component symbols and replacing each with a code, arithmetic coding encodes the entire message into a single number, an arbitrary-precision fraction q, where 0.0 ≤ q < 1.0. It represents the current information as a range, defined by two numbers. A recent family of entropy coders called asymmetric numeral systems allows for faster implementations thanks to directly operating on a single natural number representing the current information.
Golomb coding is a lossless data compression method using a family of data compression codes invented by Solomon W. Golomb in the 1960s. Alphabets following a geometric distribution will have a Golomb code as an optimal prefix code, making Golomb coding highly suitable for situations in which the occurrence of small values in the input stream is significantly more likely than large values.
Unary coding, or the unary numeral system and also sometimes called thermometer code, is an entropy encoding that represents a natural number, n, with a code of length n + 1, usually n ones followed by a zero or with n − 1 ones followed by a zero. For example 5 is represented as 111110 or 11110. Some representations use n or n − 1 zeros followed by a one. The ones and zeros are interchangeable without loss of generality. Unary coding is both a prefix-free code and a self-synchronizing code.
A binary number is a number expressed in the base-2 numeral system or binary numeral system, a method for representing numbers that uses only two symbols for the natural numbers: typically "0" (zero) and "1" (one). A binary number may also refer to a rational number that has a finite representation in the binary numeral system, that is, the quotient of an integer by a power of two.
The IEEE Standard for Floating-Point Arithmetic is a technical standard for floating-point arithmetic established in 1985 by the Institute of Electrical and Electronics Engineers (IEEE). The standard addressed many problems found in the diverse floating-point implementations that made them difficult to use reliably and portably. Many hardware floating-point units use the IEEE 754 standard.
Excess-3, 3-excess or 10-excess-3 binary code, shifted binary or Stibitz code is a self-complementary binary-coded decimal (BCD) code and numeral system. It is a biased representation. Excess-3 code was used on some older computers as well as in cash registers and hand-held portable electronic calculators of the 1970s, among other uses.
Chen–Ho encoding is a memory-efficient alternate system of binary encoding for decimal digits.
Densely packed decimal (DPD) is an efficient method for binary encoding decimal digits.
Non-standard positional numeral systems here designates numeral systems that may loosely be described as positional systems, but that do not entirely comply with the following description of standard positional systems:
Gillham code is a zero-padded 12-bit binary code using a parallel nine- to eleven-wire interface, the Gillham interface, that is used to transmit uncorrected barometric altitude between an encoding altimeter or analog air data computer and a digital transponder. It is a modified form of a Gray code and is sometimes referred to simply as a "Gray code" in avionics literature.
Offset binary, also referred to as excess-K, excess-N, excess-e, excess code or biased representation, is a method for signed number representation where a signed number n is represented by the bit pattern corresponding to the unsigned number n+K, K being the biasing value or offset. There is no standard for offset binary, but most often the K for an n-bit binary word is K = 2n−1 (for example, the offset for a four-digit binary number would be 23=8). This has the consequence that the minimal negative value is represented by all-zeros, the "zero" value is represented by a 1 in the most significant bit and zero in all other bits, and the maximal positive value is represented by all-ones (conveniently, this is the same as using two's complement but with the most significant bit inverted). It also has the consequence that in a logical comparison operation, one gets the same result as with a true form numerical comparison operation, whereas, in two's complement notation a logical comparison will agree with true form numerical comparison operation if and only if the numbers being compared have the same sign. Otherwise the sense of the comparison will be inverted, with all negative values being taken as being larger than all positive values.
In computing, decimal32 is a decimal floating-point computer numbering format that occupies 4 bytes (32 bits) in computer memory. It is intended for applications where it is necessary to emulate decimal rounding exactly, such as financial and tax computations. Like the binary16 format, it is intended for memory saving storage.
BCD, also called alphanumeric BCD, alphameric BCD, BCD Interchange Code, or BCDIC, is a family of representations of numerals, uppercase Latin letters, and some special and control characters as six-bit character codes.
The skew binary number system is a non-standard positional numeral system in which the nth digit contributes a value of times the digit instead of times as they do in binary. Each digit has a value of 0, 1, or 2. A number can have many skew binary representations. For example, a decimal number 15 can be written as 1000, 201 and 122. Each number can be written uniquely in skew binary canonical form where there is only at most one instance of the digit 2, which must be the least significant nonzero digit. In this case 15 is written canonically as 1000.
[…] A clearer idea of the position of the balls after each pulse will be obtained if the set of balls is represented by a number having a similar number of digits, each of which may have one of two arbitrary values, for example 0 and 1. If the upper position is called 0 and the lower position […] 1, then the setting of the counter […] may be read from left to right as 0,100,000. […] Following is a translation of the number of pulses received into this form of binary notation for the first sixteen pulses as received on the first five balls […] Pulse number […] Binary notation […](4 pages)
[…] The type of code wheel most popular in optical encoders contains a cyclic binary code pattern designed to give a cyclic sequence of "on-off" outputs. The cyclic binary code is also known as the cyclic progression code, the reflected binary code, and the Gray code. This code was originated by G. R. Stibitz, of Bell Telephone Laboratories, and was first proposed for pulse-code modulation systems by Frank Gray, also of BTL. Thus the name Gray code. The Gray or cyclic code is used mainly to eliminate the possibility of errors at code transition which could result in gross ambiguities. […]
[…] Decoding. […] To decode C.P.B. or W.R.D. codes, a simple inversion rule can be applied. The readings of the higher tracks determine the way in which the lower tracks are translated. The inversion rule is applied line by line for the C.P.B. and for the W.R.D. it is applied decade by decade or line by line. Starting therefore with the top or slowest changing track of the C.P.B., if the result is odd (1) the next track value has to be inverted, i.e. 0 for 1 and 1 for 0. If, however, the first track is even (0), the second track is left as read, i.e. 0 for 0 and 1 for 1. Again, if the resultant reading of the second track is odd, the third track reading is inverted and so on. When an odd is changed to an even the line below is not inverted and when an even is changed to an odd the line below is inverted. The result of applying this rule to the pattern […] is the pure binary (P.B.) pattern […] where each track or digit can be given a definite numerical value (in this instance 1, 2, 4, 8, etc.). […] Using the line-by-line inversion rule on the W.R.D. code produces [a] pattern [of 1, 2, 4, 2 code] where again the digits can be given numerical values and summed decade by decade. The summing of the digits can be very useful, for example, in a high-speed scanning system; but in a parallel decoding system […], it is usual to treat each binary quartet or decade as an entity. In other words, if the first or more significant decade is odd, the second decade is rectified or complemented by inverting the D track and so on, the result being the repeating pattern of [rectified W.R.D. code]. This is an extremely easy thing to achieve since the only change required is the inversion of the meaning of the D track or complementing digit. […](8+82 pages) (NB. The author does not mention Gray at all and calls the standard Gray code "Cyclic Permuted Binary Code" (C.P.B.), the book index erroneously lists it as "cyclic pure binary code".)
[…] There seems to be some confusion about the attributation of this code, because two inventors named Gray have been associated with it. When I first heard the name I took it as referring to Elisha Gray, and Heath testifies to his usage of it. Many people take it as referring to Frank Gray of Bell Telephone Laboratories, who in 1947 first proposed its use in coding tubes: his patent is listed in the bibliography. […](2+448+2 pages)
[…] Der um die Mitte des J[ahres] 1874 patenti[e]rte, ebenfalls dem Highton'schen verwandte Typendrucker des französischen Telegraphen-Verwaltungsbeamten Baudot wurde bei seiner 1875 patenti[e]rten Weiterentwicklung in einen fünffachen umgewandelt […]
[…] A Baudot prototype (4 years in the making) was built in 1876. The transmitter had 5 keys similar to those of a piano. Messages were sent in a special 5-element code devised by Baudot […]
[…] In 1872, [Baudot] started research toward a telegraph system that would allow multiple operators to transmit simultaneously over a single wire and, as the transmissions were received, would print them in ordinary alphabetic characters on a strip of paper. He received a patent for such a system on June 17, 1874. […] Instead of a variable delay followed by a single-unit pulse, Baudot's system used a uniform six time units to transmit each character. […] his early telegraph probably used the six-unit code […] that he attributes to Davy in an 1877 article. […] in 1876 Baudot redesigned his equipment to use a five-unit code. Punctuation and digits were still sometimes needed, though, so he adopted from Hughes the use of two special letter space and figure space characters that would cause the printer to shift between cases at the same time as it advanced the paper without printing. The five-unit code he began using at this time […] was structured to suit his keyboard […], which controlled two units of each character with switches operated by the left hand and the other three units with the right hand. […]
[…] In 1874, Schaeffler invented another printing telegraph, a quadruple system like the Baudot, but mechanically more sophisticated. The Hughes telegraph had two synchronously rotating fingers, one in the sender and one in the receiver. By a piano-like keyboard the operator selected a letter and thereby made contact with the rotating finger in the corresponding direction. Since the receiving finger was in the same direction at this moment, the receiver could print the correct letter. The Baudot and the Schaeffler printing telegraphs use a five-bit binary code. ... Schaeffler's code is a reflected binary code! What F. Gray patented in 1953 for PCM, Schaeffler had applied in his telegraph in 1874, and for a similar reason: reliability. He had contact fingers sensing on five cams consecutively all combinations; the right one triggers printing. If the fingers are to make a minimal number of movements, the solution is the reflected binary code. For Schaeffler, this idea was a minor one. More exactly, the code is described in a letter by the Austrian Post employee, J[ohann] N[epomuk] Teufelhart, inserted there as a footnote and telling that Schaeffler found the code by combining wooden bars with the different combinations until he had the best solution. Another Post employee, Alexander Wilhelm Lambert of Linz, claims to have shown this code to Schaeffler as early as 1872, but this claim is not clear and cannot be checked. […](6 pages)
[…] Karnaugh's map orders the arguments of the discriminants according to the reflected binary code, also called the Gray code. […](xii+291+3 pages) 1st edition
[…] Übersichtlich ist die Darstellung nach Händler , die sämtliche Punkte, numeriert nach dem Gray-Code […], auf dem Umfeld eines Kreises anordnet. Sie erfordert allerdings sehr viel Platz. […][Händler's diagram, where all points, numbered according to the Gray code, are arranged on the circumference of a circle, is easily comprehensible. It needs, however, a lot of space.]
[…] The MOA-GILLHAM code is essentially the combination of the Gray code discussed thereinabove and the well known Datex code; the Datex code is disclosed in U.S. Patent 3,165,731. The arrangement is such that the Datex code defines the bits for the units count of the encoder and the Gray code defines the bits for each of the higher order decades, the tens, hundreds, etc. […](11 pages)
[…] The Datex code […] uses the O'Brien code II within each decade, and reflected decimal numbers for the decimal transitions. For further processing, code conversion to the natural decimal notation is necessary. Since the O'Brien II code forms a 9s complement, this does not give rise to particular difficulties: whenever the code word for the tens represents an odd number, the code words for the decimal units are given as the 9s complements by inversion of the fourth binary digit. […][ permanent dead link ] (270 pages)
[…] The complete dispatching operation, gauging, and remote control is integrated into one single unitized system when a "Varec" Pulse Code Telemetering System is installed. […]
[…] Other forms of code are also well known. Among these are the Royal Radar Establishment code; The Excess Three decimal code; Gillham code which is recommended by ICAO for automatic height transmission for air traffic control purposes; the Petherick code, and the Leslie and Russell code of the National Engineering Laboratory. Each has its particular merits and they are offered as options by various encoder manufacturers. […](12+367+5 pages)
[…] Die Firma Harrison Reproduction Equipment, Farnborough/England […] hat in jahrelanger Entwicklung in Zusammenarbeit mit der Britischen Luftwaffe und britischen Industriebetrieben den mechanischen Digitizer […] zu einer technischen Reife gebracht, die fast allen Anforderungen […] genügt. […] Um bei der dezimalen Entschlüsselung des verwendeten Binärcodes zu eindeutigen und bei der Übergabe von einer Dezimalstelle zur anderen in der Reihenfolge immer richtigen Ergebnissen zu kommen, wurde ein spezieller Code entwickelt, der jede Möglichkeit einer Fehlaussage durch sein Prinzip ausschließt und der außerdem durch seinen Aufbau eine relativ einfache Entschlüsselung erlaubt. Der Code basiert auf dem Petherick-Code. […](4 pages)