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The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.
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The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter. Booknews A textbook for a one-quarter or one-semester senior or graduate second course in discrete-time signal processing. Assumes a knowledge of difference equations, discrete convolution and linear filtering, the discrete-time Fourier transform, the zeta- transform, and linear algebra. Many of the problems are presented in Matlab. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Preface1Introduction12Background73Discrete-Time Random Processes574Signal Modeling1295The Levinson Recursion2156Lattice Filters2897Wiener Filtering3358Spectrum Estimation3919Adaptive Filtering493Appendix: Use of Matlab Programs571Table of Symbols595Index599
\ BooknewsA textbook for a one-quarter or one-semester senior or graduate second course in discrete-time signal processing. Assumes a knowledge of difference equations, discrete convolution and linear filtering, the discrete-time Fourier transform, the zeta- transform, and linear algebra. Many of the problems are presented in Matlab. Annotation c. Book News, Inc., Portland, OR (booknews.com)\ \
