Robert M. Gray (born November 1, 1943) is an American information theorist, and the Alcatel-Lucent Professor of Electrical Engineering at Stanford University in Palo Alto, California. He is best known for his contributions to quantization and compression, particularly the development of vector quantization. https://ee.stanford.edu/~gray/ https://en.wikipedia.org/wiki/Robert_M._Gray
Now Publishers, 2010. — 152 p. — (Foundations and Trends in Signal Processing). In December 1974 the first real-time conversation on the ARPAnet took place between Culler-Harrison Incorporated in Goleta, California, and MIT Lincoln Laboratory in Lexington, Massachusetts. This was the first successful application of real-time digital speech communication over a packet network and...
Springer, 2000. — 150 p. In the current age of information technology, the issues of distributing and utilizing images efficiently and effectively are of substantial concern. Solutions to many of the problems arising from these issues are provided by techniques of image processing, among which segmentation and compression are topics of this book. Image segmentation is a process...
2nd Edition Springer, 2011. 409 p. ISBN:1441979697 This book is an updated version of the information theory classic, first published in 1990. About one-third of the book is devoted to Shannon source and channel coding theorems; the remainder addresses sources, channels, and codes and on information and distortion measures and their properties. New in this edition: Expanded...
Kluwer, 1990. — 611 p.
Source coding theory has as its goal the characterization of the optimal performance achievable in idealized communication systems which must code an information source for transmission over a digital communication or storage channel for transmission to a user. The user must decode the information into a form that is a good approximation to the original....
New York: Springer, 1990. — 304 p. This text is devoted to the theory of probabilistic information measures and their application to coding theorems for information sources and noisy channels. The eventual goal is a general development of Shannon's mathematical theory of communication, but much of the space is devoted to the tools and methods required to prove the Shannon coding...
Now Publishers Inc, 2006. - 104 pages.
The book derives in a tutorial manner the fundamental theorems on the asymptotic behavior of eigenvalues, inverses, and products of banded Toeplitz matrices and Toeplitz matrices with absolutely summable elements. Mathematical elegance and generality are sacrificed for conceptual simplicity and insight in the hope of making these results...
Springer Verlag, 1987. — 216 p.
This book has been written for several reasons, not all of which are academic. This material was for many years the first half of a book in progress on information and ergodic theory. The intent was and is to provide a reasonably self-contained advanced treatment of measure theory, probability theory, and the theory of discrete time random...
Springer, 1987. — 295 p. This book is a self-contained treatment of the theory of probability, random processes. It is intended to lay solid theoretical foundations for advanced probability, that is, for measure and integration theory, and to develop in depth the long term time average behavior of measurements made on random processes with general output alphabets. Unlike...
Springer, 1992. — 737 p. This book is devoted to the theory and practice of signal compression, i.e., data compression applied to signals such as speech, audio, images, and video signals (excluding other data types such as financial data or general-purpose computer data). The emphasis is on the conversion of analog waveforms into efficient digital representations and on the...
Cambridge University Press, 2004. — 460 p.
В книге изложены математические основания методов статистического распознавания образов: теории вероятностей и математической статистики, теории систем и обработки сигналов. Книга содержит много примеров и задач.
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