Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space, or frequency. In digital electronics, a digital signal is represented as a pulse train, which is typically generated by the switching of a transistor.
Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing signals, such as sound, images, potential fields, seismic signals, altimetry processing, and scientific measurements. Signal processing techniques are used to optimize transmissions, digital storage efficiency, correcting distorted signals, subjective video quality, and to also detect or pinpoint components of interest in a measured signal.
In control theory, a causal system is a system where the output depends on past and current inputs but not future inputs—i.e., the output depends only on the input for values of .
Ronald W. Schafer is an American electrical engineer notable for his contributions to digital signal processing.
Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG is performed using an instrument called an electromyograph to produce a record called an electromyogram. An electromyograph detects the electric potential generated by muscle cells when these cells are electrically or neurologically activated. The signals can be analyzed to detect abnormalities, activation level, or recruitment order, or to analyze the biomechanics of human or animal movement. Needle EMG is an electrodiagnostic medicine technique commonly used by neurologists. Surface EMG is a non-medical procedure used to assess muscle activation by several professionals, including physiotherapists, kinesiologists and biomedical engineers. In computer science, EMG is also used as middleware in gesture recognition towards allowing the input of physical action to a computer as a form of human-computer interaction.
Thomas Shi-Tao Huang was a Chinese-born American computer scientist, electrical engineer, and writer. He was a researcher and professor emeritus at the University of Illinois at Urbana-Champaign (UIUC). Huang was one of the leading figures in computer vision, pattern recognition and human computer interaction.
Alan Victor Oppenheim is a professor of engineering at MIT's Department of Electrical Engineering and Computer Science. He is also a principal investigator in MIT's Research Laboratory of Electronics (RLE), at the Digital Signal Processing Group.
A biosignal is any signal in living beings that can be continually measured and monitored. The term biosignal is often used to refer to bioelectrical signals, but it may refer to both electrical and non-electrical signals. The usual understanding is to refer only to time-varying signals, although spatial parameter variations are sometimes subsumed as well.
Ali Naci Akansu is a Turkish-American professor of electrical & computer engineering and scientist in applied mathematics.
A Bioamplifier is an electrophysiological device, a variation of the instrumentation amplifier, used to gather and increase the signal integrity of physiologic electrical activity for output to various sources. It may be an independent unit, or integrated into the electrodes.
The Donald P. Eckman Award is an award given by the American Automatic Control Council recognizing outstanding achievements by a young researcher under the age of 35 in the field of control theory. Together with the Richard E. Bellman Control Heritage Award, the Eckman Award is one of the most prestigious awards in control theory.
The IEEE Jack S. Kilby Signal Processing Medal is presented "for outstanding achievements in signal processing" theory, technology or commerce. The recipients of this award will receive a gold medal, together with a replica in bronze, a certificate and an honorarium.
Robert W. Brodersen is a professor of electrical engineering, now emeritus, and a founder of the Berkeley Wireless Research Center (BWRC) at the University of California, Berkeley.
Peyman Milanfar is a Distinguished Scientist / Sr. Director at Google Research, where he leads the Computational Imaging team. Prior to this, he was a Professor of Electrical Engineering at University of California Santa Cruz, from 1999 to 2014. He was Associate Dean for Research at the School of Engineering from 2010 to 2012. From 2012 to 2014 he was on leave at Google-x, where he helped develop the imaging pipeline for Google Glass. Most recently, his team at Google developed the digital zoom pipeline for the Pixel phones, which includes the multi-frame super-resolution "Super Res Zoom" technology, and the RAISR upscaling algorithm. In addition, the Night Sight mode on Pixel 3 uses the Super Res technology for vivid shots in all lighting conditions.
Barbara Shinn-Cunningham is an American bioengineer and neuroscientist. She is the founding Director of the Carnegie Mellon University Neuroscience Institute, the George A. and Helen Dunham Cowan Professor of Auditory Neuroscience, and Professor of Psychology, Electrical and Computer Engineering, and Biomedical Engineering.
Shrikanth Narayanan is an Indian-American Professor at the University of Southern California. He is an interdisciplinary engineer-scientist with a focus on human-centered signal processing and machine intelligence with speech and spoken language processing at its core. A prolific award-winning researcher, educator, and inventor, with hundreds of publications and a number of acclaimed patents to his credit, he has pioneered several research areas including in computational speech science, speech and human language technologies, audio, music and multimedia engineering, human sensing and imaging technologies, emotions research and affective computing, behavioral signal processing, and computational media intelligence. His technical contributions cover a range of applications including in defense, security, health, education, media, and the arts. His contributions continue to impact numerous domains including in human health, national defense/intelligence, and the media arts including in using technologies that facilitate awareness and support of diversity and inclusion. His award-winning patents have contributed to the proliferation of speech technologies on the cloud and on mobile devices and in enabling novel emotion-aware artificial intelligence technologies.
Ahmed H. Tewfik is an Egyptian-American electrical engineer, professor and college administrator who currently serves as the IEEE Signal Processing Society President. He also holds the Cockrell Family Chair in Engineering #1 at UT Austin. He served as the former chair of the Department of Electrical and Computer Engineering at the Cockrell School of Engineering at the University of Texas at Austin from 2010 to 2019. For his research and contributions to the field of Signal Processing he was elected as an IEEE Fellow in 1996, received the IEEE Third Millennium Award in 2000, and awarded the 2017 IEEE Signal Processing Society Technical Achievement Award.
Muyinatu "Bisi" A. Lediju Bell is a researcher and faculty member. She is the John C. Malone Associate Professor of Biomedical Engineering, Electrical and Computer Engineering, and Computer Science at Johns Hopkins University. She is also the director of the Photoacoustic and Ultrasonic Systems Engineering Laboratory.
Maria-Gabriella Di Benedetto is an Italian electrical, audio, and communications engineer, whose research involves speech processing, wireless communication, and ultra-wideband signal processing. She is a professor of electrical engineering at Sapienza University of Rome.
