Optimum Signal Processing
by Sophocles J. Orfanidis
Number of pages: 391
Digital signal processing is currently in a period of rapid growth caused by recent advances in VLSI technology. This is especially true of three areas of optimum signal processing; namely, real-time adaptive signal processing, eigenvector methods of spectrum estimation, and parallel processor implementations of optimum filtering and prediction algorithms. In this edition the book has been brought up to date by increasing the emphasis on the above areas and including several new developments.
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by Sophocles J. Orfanidis - Prentice Hall
An applications-oriented introduction to digital signal processing. The author covers all the basic DSP concepts, such as sampling, DFT/FFT algorithms, etc. The book emphasizes the algorithmic, computational, and programming aspects of DSP.
by Sebastian Miron - InTech
The exponential development of computer power over the last few decades, transformed signal processing in an essential tool for a wide range of domains such as telecommunications. This book provides highlights of the current research in the area.
by Daniel N. Rockmore, Jr, Dennis M. Healy - Cambridge University Press
The book about the mathematical basis of signal processing and its many areas of application for graduate students. The text emphasizes current challenges, new techniques adapted to new technologies, and recent advances in algorithms and theory.
by Jeff Fessler - University of Michigan
Course objectives: 1. to teach students the concepts of discrete-time signals, including mathematical representations; 2. to teach students the concepts of linear time-invariant discrete-time systems; 3. to introduce the concepts of filter design.