1989 - IEEE Richard W. Hamming Medal "For contributions to multiple error-correcting codes, digital computer design, and automatic detection and processing of signals in noise."
1982 - IEEE Claude E. Shannon Award
His primary areas of study are Algorithm, Artificial intelligence, Detection theory, Clutter and Image processing. His Algorithm study frequently intersects with other fields, such as Very-large-scale integration. Irving S. Reed has researched Artificial intelligence in several fields, including Signal-to-noise ratio and Computer vision.
Irving S. Reed interconnects Signal-to-noise ratio, Constant false alarm rate and Matched filter in the investigation of issues within Detection theory. His biological study spans a wide range of topics, including Field, Bit-length, Binary number and Erasure code. His Binary number research focuses on subjects like Finite field, which are linked to Code.
Irving S. Reed mainly investigates Algorithm, Discrete mathematics, Decoding methods, Very-large-scale integration and Arithmetic. His Algorithm research integrates issues from Fourier transform, Filter and Signal processing. As a part of the same scientific family, Irving S. Reed mostly works in the field of Filter, focusing on Matched filter and, on occasion, Artificial intelligence and Computer vision.
He studies Discrete mathematics, focusing on Finite field in particular. His Finite field research is multidisciplinary, relying on both Polynomial and Galois theory. His Arithmetic research is multidisciplinary, incorporating perspectives in Modulo and Finite field arithmetic.
His primary areas of investigation include Algorithm, Convolutional code, Discrete mathematics, Decoding methods and Quadratic residue code. His studies deal with areas such as Asynchronous communication and Signal processing as well as Algorithm. Irving S. Reed usually deals with Signal processing and limits it to topics linked to Constant false alarm rate and Normalization.
His work carried out in the field of Discrete mathematics brings together such families of science as Concatenated error correction code, Cyclic code, Serial concatenated convolutional codes, Polynomial code and Linear code. His research in Decoding methods intersects with topics in Computer architecture, Error detection and correction and Encoding. His Affine transformation research is multidisciplinary, incorporating elements of Polynomial and Finite field.
Algorithm, Artificial intelligence, Data compression, Image processing and Computer vision are his primary areas of study. His study in the field of Decoding methods and Fast Fourier transform is also linked to topics like Berlekamp's algorithm. His study in Decoding methods is interdisciplinary in nature, drawing from both Code, Polynomial, Galois theory and Finite field.
Irving S. Reed combines subjects such as Covariance matrix, Sample matrix inversion, Adaptive filter and Pattern recognition with his study of Artificial intelligence. His multidisciplinary approach integrates Image processing and Clutter in his work. His Computer vision study combines topics from a wide range of disciplines, such as Radiation, Black-body radiation and Hyperspectral imaging.
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Polynomial Codes Over Certain Finite Fields
I. S. Reed;G. Solomon.
Journal of The Society for Industrial and Applied Mathematics (1960)
Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution
I.S. Reed;X. Yu.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1990)
A VLSI design of a pipeline Reed-Solomon decoder
H. Shao;T. Truong;L. Deutsch;J. Yuen.
international conference on acoustics, speech, and signal processing (1985)
Optical moving target detection with 3-D matched filtering
I.S. Reed;R.M. Gagliardi;L.B. Stotts.
IEEE Transactions on Aerospace and Electronic Systems (1988)
A Detection Algorithm for Optical Targets in Clutter
Jiah Yeu Chen;Irving S. Reed.
IEEE Transactions on Aerospace and Electronic Systems (1987)
The use of finite fields to compute convolutions
I. Reed;Treiu-Kien Truong.
IEEE Transactions on Information Theory (1975)
A new CFAR detection test for radar
Wai-Sheou Chen;Irving S Reed.
Digital Signal Processing (1991)
Application of Three-Dimensional Filtering to Moving Target Detection
I.S. Reed;R.M. Gagliardi;H.M. Shao.
IEEE Transactions on Aerospace and Electronic Systems (1983)
Automatic target detection and recognition in multiband imagery: a unified ML detection and estimation approach
Xiaoli Yu;L.E. Hoff;I.S. Reed;An Mei Chen.
IEEE Transactions on Image Processing (1997)
A comparison of VLSI architecture of finite field multipliers using dual, normal, or standard bases
I.S. Hsu;T.K. Truong;L.J. Deutsch;I.S. Reed.
IEEE Transactions on Computers (1988)
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