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Algorithms for statistical signal processing

Author: John G Proakis
Publisher: Upper Saddle River, N.J. : Prentice Hall, ©2002.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Suitable for graduate-level courses in Digital Signal Processing in ECE and applied mathematics departments. This presentation of computational algorithms for statistical signal processing focuses on  Read more...

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Additional Physical Format: Online version:
Algorithms for statistical signal processing.
Upper Saddle River, N.J. : Prentice Hall, ©2002
(OCoLC)606578408
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: John G Proakis
ISBN: 0130622192 9780130622198
OCLC Number: 47665287
Description: xii, 564 pages : illustrations ; 24 cm
Contents: Characterization of Signals --
Characterization of Linear Time-Invariant Systems --
Sampling of Signals --
Linear Filtering Methods Based on the DFT --
The Cepstrum --
Algorithms for Convolution and Dft --
Modulo Polynomials --
Circular Convolution as Polynomial Multiplication mod u[superscript N]--1 --
A Continued Fraction of Polynomials --
Chinese Remainder Theorem for Polynomials --
Algorithms for Short Circular Convolutions --
How We Count Multiplications --
Cyclotomic Polynomials --
Elementary Number Theory --
Convolution Length and Dimension --
The DFT as a Circular Convolution --
Winograd's DFT Algorithm --
Number-Theoretic Analogy of DFT --
Number-Theoretic Transform --
Split-Radix FFT --
Autogen Technique --
Linear Prediction and Optimum Linear Filters --
Innovations Representation of a Stationary Random Process --
Forward and Backward Linear Prediction --
Solution of the Normal Equations --
Properties of the Linear Prediction-Error Filters --
AR Lattice and ARMA Lattice-Ladder Filters --
Wiener Filters for Filtering and Prediction --
Least-Squares Methods for System Modeling and Filter Design --
System Modeling and Identification --
Least-Squares Filter Design for Prediction and Deconvolution --
Solution of Least-Squares Estimation Problems --
Adaptive Filters --
Applications of Adaptive Filters --
Adaptive Direct-Form FIR Filters --
Adaptive Lattice-Ladder Filters --
Recursive Least-Squares Algorithms for Array Signal Processing --
QR Decomposition for Least-Squares Estimation.
Responsibility: John G. Proakis [and others].

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