Algorithms for Statistical Signal Processing (Hardcover)

John G. Proakis, Charles M. Rader, Fuyun Ling, Marc Moonen, Ian K. Proudler, Chrysostomos L. Nikias

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商品描述

Keeping pace with the expanding, ever more complex applications of DSP, this authoritative presentation of computational algorithms for statistical signal processing focuses on advanced topics ignored by other books on the subject. KEY TOPICS: Algorithms for Convolution and DFT. Linear Prediction and Optimum Linear Filters. Least-Squares Methods for System Modeling and Filter Design. Adaptive Filters. Recursive Least-Squares Algorithms for Array Signal Processing. QRD-Based Fast Adaptive Filter Algorithms. Power Spectrum Estimation. Signal Analysis with Higher-Order Spectra. MARKET: For Electrical Engineers, Computer Engineers, Computer Scientists, and Applied Mathematicians.

Table of Contents

1. Introduction.
2. Algorithms for Convolution and DFT.
3. Linear Prediction and Optimum Linear Filters.
4. Least-Squares Methods for System Modeling and Filter Design.
5. Adaptive Filters.
6. Recursive Least-Squares Algorithms for Array Signal Processing.
7. QRD-Based Fast Adaptive Filter Algorithms.
8. Power Spectrum Estimation.
9. Signal Analysis with Higher-Order Spectra.
References.
Index