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Linear Prediction Theory - A Mathematical Basis for Adaptive Systems (Paperback, Softcover reprint of the original 1st ed. 1990) Loot Price: R1,511
Discovery Miles 15 110
Linear Prediction Theory - A Mathematical Basis for Adaptive Systems (Paperback, Softcover reprint of the original 1st ed....

Linear Prediction Theory - A Mathematical Basis for Adaptive Systems (Paperback, Softcover reprint of the original 1st ed. 1990)

Peter Strobach

Series: Springer Series in Information Sciences, 21

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Loot Price R1,511 Discovery Miles 15 110 | Repayment Terms: R142 pm x 12*

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Lnear prediction theory and the related algorithms have matured to the point where they now form an integral part of many real-world adaptive systems. When it is necessary to extract information from a random process, we are frequently faced with the problem of analyzing and solving special systems of linear equations. In the general case these systems are overdetermined and may be characterized by additional properties, such as update and shift-invariance properties. Usually, one employs exact or approximate least-squares methods to solve the resulting class of linear equations. Mainly during the last decade, researchers in various fields have contributed techniques and nomenclature for this type of least-squares problem. This body of methods now constitutes what we call the theory of linear prediction. The immense interest that it has aroused clearly emerges from recent advances in processor technology, which provide the means to implement linear prediction algorithms, and to operate them in real time. The practical effect is the occurrence of a new class of high-performance adaptive systems for control, communications and system identification applications. This monograph presumes a background in discrete-time digital signal processing, including Z-transforms, and a basic knowledge of discrete-time random processes. One of the difficulties I have en countered while writing this book is that many engineers and computer scientists lack knowledge of fundamental mathematics and geometry."

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Springer Series in Information Sciences, 21
Release date: December 2011
First published: 1990
Authors: Peter Strobach
Dimensions: 235 x 155 x 22mm (L x W x T)
Format: Paperback
Pages: 422
Edition: Softcover reprint of the original 1st ed. 1990
ISBN-13: 978-3-642-75208-7
Categories: Books > Science & Mathematics > Mathematics > Combinatorics & graph theory
Books > Science & Mathematics > Physics > General
Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN: 3-642-75208-X
Barcode: 9783642752087

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