Signal Processing Algorithm Statistics

Author: John G.
Publisher: Prentice Hall
Publication Date: 2002-04-01
Features:
Basic treatment of algorithms for computing convolutions and the DFT.
Treatment of linear prediction and the design of optimum linear filters.
Exploration of adaptive filtering algorithms with applications to signal processing and telecommunications.
In-depth treatment of recursive least squares algorithms for array signal processing.
Thorough treatment of power spectrum estimation methods.
Treatment of signal analysis based on higher-order spectra.
Basic DSP Review - Ch. 1. This book systematically introduces the algorithms of statistical signal systems. It focuses on high-level topics: adaptive filter algorithms, such as the least squares method and power spectrum estimation, etc. Original title: Algorithms for Statistical Signal Processing.

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