Thomas M. Cover
|Died||March 26, 2012 73) (aged|
|Known for|| Information theory |
Nearest Neighbors Algorithm Cover's Theorem
|Awards|| IEEE Fellow (1974)|
IMS Fellow (1981)
Claude E. Shannon Award (1990)
AAAS Fellow (1991)
Member of the National Academy of Engineering (1995)
Richard W. Hamming Medal (1997)
|Fields|| Information Theory |
|Doctoral advisor||Norman Abramson|
|Doctoral students|| Mohammad Reza Aref |
Peter E. Hart
Abbas El Gamal
Thomas M. Cover [ˈkoʊvər] (August 7, 1938 – March 26, 2012) was an information theorist and professor jointly in the Departments of Electrical Engineering and Statistics at Stanford University. He devoted almost his entire career to developing the relationship between information theory and statistics.
He received his B.S. in Physics from MIT in 1960 and Ph.D. in electrical engineering from Stanford University in 1964.
Cover was past President of the IEEE Information Theory Society and was a Fellow of the Institute of Mathematical Statistics and of the Institute of Electrical and Electronics Engineers. He received the Outstanding Paper Award in Information Theory for his 1972 paper "Broadcast Channels"; he was selected in 1990 as the Shannon Lecturer, regarded as the highest honor in information theory; in 1997 he received the IEEE Richard W. Hamming Medal;and in 2003 he was elected to the American Academy of Arts and Sciences.
During his 48-year career as a professor of Electrical Engineering and Statistics at Stanford University, he graduated 64 PhD students, authored over 120 journal papers in learning, information theory, statistical complexity, and portfolio theory; and he coauthored the book Elements of Information Theory, which has become the most widely used textbook as an introduction to the topic since the publication of its first edition in 1991.He was also coeditor of the book Open Problems in Communication and Computation.
Coding theory is the study of the properties of codes and their respective fitness for specific applications. Codes are used for data compression, cryptography, error detection and correction, data transmission and data storage. Codes are studied by various scientific disciplines—such as information theory, electrical engineering, mathematics, linguistics, and computer science—for the purpose of designing efficient and reliable data transmission methods. This typically involves the removal of redundancy and the correction or detection of errors in the transmitted data.
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