Algebraic Methods for Signal Processing and Communications Coding (Paperback, Softcover reprint of the original 1st ed. 1992)

Algorithms for computation are a central part of both digital signal pro cessing and decoders for error-control codes and the central algorithms of the two subjects share many similarities. Each subject makes extensive use of the discrete Fourier transform, of convolutions, and of algorithms for the inversion of Toeplitz systems of equations. Digital signal processing is now an established subject in its own right; it no longer needs to be viewed as a digitized version of analog signal process ing. Algebraic structures are becoming more important to its development. Many of the techniques of digital signal processing are valid in any algebraic field, although in most cases at least part of the problem will naturally lie either in the real field or the complex field because that is where the data originate. In other cases the choice of field for computations may be up to the algorithm designer, who usually chooses the real field or the complex field because of familiarity with it or because it is suitable for the particular application. Still, it is appropriate to catalog the many algebraic fields in a way that is accessible to students of digital signal processing, in hopes of stimulating new applications to engineering tasks."

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Signal Processing and Digital Filtering
Release date:	October 2011
First published:	1992
Authors:	Richard E Blahut
Associate editors:	C.S. Burrus
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	143
Edition:	Softcover reprint of the original 1st ed. 1992
ISBN-13:	978-1-4612-7687-6
Categories:	Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Promotions
LSN:	1-4612-7687-X
Barcode:	9781461276876

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