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Bootstrap Techniques for Signal Proc...
~
Zoubir, Abdelhak M.
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Bootstrap Techniques for Signal Processing.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Bootstrap Techniques for Signal Processing./
Author:
Zoubir, Abdelhak M.
other author:
Iskander, D. Robert.
Published:
Cambridge :Cambridge University Press, : 2004.,
Description:
233 p.
[NT 15003449]:
Cover; Half-title; Title; Copyright; Contents; Preface; Notations; 1 Introduction; 2 The bootstrap principle; 3 Signal detection with the bootstrap; 4 Bootstrap model selection; 5 Real data bootstrap applications; Appendix 1 Matlab codes for the examples; Appendix 2 Bootstrap Matlab Toolbox; References; Index
Subject:
Signal processing. -
Online resource:
http://dx.doi.org/10.1017/CBO9780511536717Click here to view book
ISBN:
9780511536717 (electronic bk.)
Bootstrap Techniques for Signal Processing.
Zoubir, Abdelhak M.
Bootstrap Techniques for Signal Processing.
[electronic resource]. - Cambridge :Cambridge University Press,2004. - 233 p.
Cover; Half-title; Title; Copyright; Contents; Preface; Notations; 1 Introduction; 2 The bootstrap principle; 3 Signal detection with the bootstrap; 4 Bootstrap model selection; 5 Real data bootstrap applications; Appendix 1 Matlab codes for the examples; Appendix 2 Bootstrap Matlab Toolbox; References; Index
The statistical bootstrap is a powerful tool in signal processing. This book covers the foundations of the bootstrap, its properties, its strengths, its limitations, and model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB.
Electronic reproduction.
Available via World Wide Web.
Mode of access: World Wide Web.
ISBN: 9780511536717 (electronic bk.)Subjects--Topical Terms:
533904
Signal processing.
Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: TK5102.9 .Z68 2004eb
Dewey Class. No.: 621.3822
Bootstrap Techniques for Signal Processing.
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Bootstrap Techniques for Signal Processing.
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2004.
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233 p.
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Cover; Half-title; Title; Copyright; Contents; Preface; Notations; 1 Introduction; 2 The bootstrap principle; 3 Signal detection with the bootstrap; 4 Bootstrap model selection; 5 Real data bootstrap applications; Appendix 1 Matlab codes for the examples; Appendix 2 Bootstrap Matlab Toolbox; References; Index
520
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The statistical bootstrap is a powerful tool in signal processing. This book covers the foundations of the bootstrap, its properties, its strengths, its limitations, and model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB.
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Signal processing.
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Iskander, D. Robert.
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Click here to view book
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http://dx.doi.org/10.1017/CBO9780511536717
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W9170679
電子資源
11.線上閱覽_V
電子書
EB TK5102.9 .Z68 2004eb
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1 records • Pages 1 •
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