Bootstrap techniques for signal processing

Bootstrap techniques for signal processing

by Zoubir, Abdelhak M.

Type Book
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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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Title Statements

  • Full title :Bootstrap techniques for signal processing / Abdelhak M. Zoubir, D. Robert Iskander.

Summary

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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Edition Statements

  • Publication Date:2004.

Publication Statements

  • Publisher(s):Cambridge
  • Place of Publication:Cambridge [England]
  • Language:eng
  • Publication Date:2004.

The Physical Object

  • Description:1 online resource (xiv, 217 pages) : : illustrations

Edition Identifiers

  • ISBN:052183127X, 9780521831277, 0511193890, 9780511193897, 0511195958, 9780511195952, 0511194633, 9780511194634, 051119529X, 9780511195297, 9780511536717, 0511536712, 9786610477876, 6610477876, 9780521034050, 0521034051
  • oclc:ocn173610030
  • LC Classification:TK5102.9
  • Dewey Decimal:621.382/2

Table of Contents

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.

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