 Digital Filters
by Richard W. Hamming
Introductory text examines role of digital filtering in many applications, particularly computers. Focus on linear signal processing; some consideration of roundoff effects, Kalman filters. Only calculus, some statistics required.
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| |  Optimal Filtering
by Brian D. O. Anderson, John B. Moore
Graduate-level text extends studies of signal processing, particularly regarding communication systems and digital filtering theory. Topics include filtering, linear systems, and estimation; discrete-time Kalman filter; time-invariant filters; more. 1979 edition.
all books in Electrical Engineering
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 Adaptive Filtering Prediction and Control
by Graham C Goodwin, Kwai Sang Sin
This unified survey focuses on linear discrete-time systems and explores natural extensions to nonlinear systems. It emphasizes discrete-time systems, summarizing theoretical and practical aspects of a large class of adaptive algorithms. 1984 edition.
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 Principles of Digital Communication and Coding
by Andrew J. Viterbi, Jim K. Omura
This classic by two digital communications experts is geared toward students of communications theory and to designers of channels, links, terminals, modems, or networks used to transmit and receive digital messages. 1979 edition.
all books in Electrical Engineering
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| |  Feedback Control Theory
by John C. Doyle, Bruce A. Francis, Allen R. Tannenbaum
This excellent introduction to feedback control system design offers a theoretical approach that captures the essential issues and can be applied to a wide range of practical problems. 1992 edition.
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 Introduction to Stochastic Control Theory
by Karl J. Åström
Exploration of stochastic control theory in terms of analysis, parametric optimization, and optimal stochastic control. Limited to linear systems with quadratic criteria; covers discrete time and continuous time systems. 1970 edition.
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 Information Theory
by Stanford Goldman
Students of electrical engineering or applied mathematics can find no clearer presentation of the principles of information theory than this excellent introduction. After explaining the nature of information theory and its problems, the author examines a variety of important ...
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| |  Information Theory and Statistics
by Solomon Kullback
Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Includes numerous worked examples and problems. References. Glossary. Appendix. 1968 2nd, revised edition.
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 Information Theory
by Robert B. Ash
Analysis of channel models and proof of coding theorems; study of specific coding systems; and study of statistical properties of information sources. Sixty problems, with solutions. Advanced undergraduate to graduate level.
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