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Bootstrap Techniques for Signal Proc...

Zoubir, Abdelhak M.

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Bootstrap Techniques for Signal Processing.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bootstrap Techniques for Signal Processing./
作者:	Zoubir, Abdelhak M.
其他作者:	Iskander, D. Robert.
出版者:	Cambridge :Cambridge University Press, : 2004.,
面頁冊數:	233 p.
內容註:	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
標題:	Signal processing. -
電子資源:	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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520 $a 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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