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Linear Algebra for Signal Processing / edited by Adam Bojanczyk, George Cybenko
(The IMA Volumes in Mathematics and its Applications ; 69)

データ種別 電子ブック
出版情報 New York, NY : Springer New York , 1995
本文言語 英語
大きさ XVI, 184 p : online resource

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URL 電子ブック


EB0069465

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内容注記 Structured matrices and inverses
Structured condition numbers for linear matrix structures
The canonical correlations of matrix pairs and their numerical computation
Continuity of the joint spectral radius: Application to wavelets
Inversion of generalized Cauchy matrices and other classes of structured matrices
Wavelets, filter banks, and arbitrary tilings of the time-frequency plane
Systolic algorithms for adaptive signal processing
Adaptive algorithms for blind channel equalization
Square-root algorithms for structured matrices, interpolation, and completion problems
一般注記 Signal processing applications have burgeoned in the past decade. During the same time, signal processing techniques have matured rapidly and now include tools from many areas of mathematics, computer science, physics, and engineering. This trend will continue as many new signal processing applications are opening up in consumer products and communications systems. In particular, signal processing has been making increasingly sophisticated use of linear algebra on both theoretical and algorithmic fronts. This volume gives particular emphasis to exposing broader contexts of the signal processing problems so that the impact of algorithms and hardware can be better understood; it brings together the writings of signal processing engineers, computer engineers, and applied linear algebraists in an exchange of problems, theories, and techniques. This volume will be of interest to both applied mathematicians and engineers
著者標目 Bojanczyk, Adam editor
Cybenko, George editor
SpringerLink (Online service)
件 名 LCSH:Engineering
LCSH:Mathematics
FREE:Engineering
FREE:Signal, Image and Speech Processing
FREE:Mathematics, general
分 類 DC23:621.382
巻冊次 ISBN:9781461242284 REFWLINK
ISBN 9781461242284
URL http://dx.doi.org/10.1007/978-1-4612-4228-4
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