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.

Bibliographic Details
Call Number:Libro Electrónico
Main Author: Zoubir, Abdelhak M.
Other Authors: Iskander, D. Robert
Format: Electronic eBook
Language:Inglés
Published: Cambridge [England] ; New York : Cambridge, 2004.
Subjects:
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
Online Access:Texto completo
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.

Similar Items