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Record Nr. |
UNINA9910458158503321 |
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Autore |
Zoubir Abdelhak M. |
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Titolo |
Bootstrap techniques for signal processing / / Abdelhak M. Zoubir, D. Robert Iskander [[electronic resource]] |
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Pubbl/distr/stampa |
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Cambridge : , : Cambridge University Press, , 2004 |
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ISBN |
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1-107-14842-1 |
1-280-47787-3 |
9786610477876 |
0-511-19529-X |
0-511-19595-8 |
0-511-19389-0 |
0-511-33144-4 |
0-511-53671-2 |
0-511-19463-3 |
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Descrizione fisica |
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1 online resource (xiv, 217 pages) : digital, PDF file(s) |
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Disciplina |
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Soggetti |
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Signal processing - Mathematics |
Image processing - Mathematics |
Bootstrap (Statistics) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
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Nota di bibliografia |
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Includes bibliographical references (p. 201-214) and index. |
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Nota di contenuto |
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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 |
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Sommario/riassunto |
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The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when only a small sample is available or an analytical analysis is too cumbersome or even impossible. This book covers the foundations of the bootstrap, its properties, its strengths |
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