Algorithms for statistical signal processing (Record no. 11136)

MARC details
000 -LEADER
fixed length control field 02633nam a2200265 a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0130622192
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780130622198
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 8178085739
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9788178085739
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.1
Item number ALG
245 ## - TITLE STATEMENT
Title Algorithms for statistical signal processing
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Delhi :
Name of publisher Pearson Education.,
Year of publication 2002.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xii, 564 p. :
Other physical details illustrations ;
500 ## - GENERAL NOTE
General note Included Index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Characterization of Signals --<br/>Characterization of Linear Time-Invariant Systems --<br/>Sampling of Signals --<br/>Linear Filtering Methods Based on the DFT --<br/>The Cepstrum --<br/>Algorithms for Convolution and Dft --<br/>Modulo Polynomials --<br/>Circular Convolution as Polynomial Multiplication mod u[superscript N]--1 --<br/>A Continued Fraction of Polynomials --<br/>Chinese Remainder Theorem for Polynomials --<br/>Algorithms for Short Circular Convolutions --<br/>How We Count Multiplications --<br/>Cyclotomic Polynomials --<br/>Elementary Number Theory --<br/>Convolution Length and Dimension --<br/>The DFT as a Circular Convolution --<br/>Winograd's DFT Algorithm --<br/>Number-Theoretic Analogy of DFT --<br/>Number-Theoretic Transform --<br/>Split-Radix FFT --<br/>Autogen Technique --<br/>Linear Prediction and Optimum Linear Filters --<br/>Innovations Representation of a Stationary Random Process --<br/>Forward and Backward Linear Prediction --<br/>Solution of the Normal Equations --<br/>Properties of the Linear Prediction-Error Filters --<br/>AR Lattice and ARMA Lattice-Ladder Filters --<br/>Wiener Filters for Filtering and Prediction --<br/>Least-Squares Methods for System Modeling and Filter Design --<br/>System Modeling and Identification --<br/>Least-Squares Filter Design for Prediction and Deconvolution --<br/>Solution of Least-Squares Estimation Problems --<br/>Adaptive Filters --<br/>Applications of Adaptive Filters --<br/>Adaptive Direct-Form FIR Filters --<br/>Adaptive Lattice-Ladder Filters --<br/>Recursive Least-Squares Algorithms for Array Signal Processing --<br/>QR Decomposition for Least-Squares Estimation.
520 ## - SUMMARY, ETC.
Summary, etc 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 advanced topics, such as algorithms for adaptive filtering, least squares methods, power spectrum estimation, and high-order spectral estimation.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Signal processing - Digital techniques - Mathematics.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Algorithms.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Digital signal processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Statistics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Statistical news theory
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Stochastic signal
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Proakis, John G. : ..[et al.]
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Reference Books
Holdings
Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Koha item type
Reference Main Library Main Library Reference 08/03/2004 Purchased 1029.00 005.1 ALG 008556 Reference Books

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