Bootstrap techniques for signal processing /

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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Zoubir, Abdelhak M.
Otros Autores: Iskander, D. Robert
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge [England] ; New York : Cambridge, 2004.
Temas:
Signal processing > Mathematics.
Image processing > Mathematics.
Bootstrap (Statistics)
Traitement du signal > Mathématiques.
Traitement d'images > Mathématiques.
Bootstrap (Statistique)
COMPUTERS > Information Theory.
TECHNOLOGY & ENGINEERING > Signals & Signal Processing.
Image processing > Mathematics
Signal processing > Mathematics
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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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