Bootstrap Techniques for Signal Processing

Name: Bootstrap Techniques for Signal Processing
Brand: Cambridge University Press
SKU: 9780521034050
Price: 1698 CZK
Availability: InStock

Autor: Abdelhak M. Zoubir

Jazyk:

Vazba: Brožovaná

Vydavatel: Cambridge University Press

Dostupnost: Skladem u dodavatele

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1 698 Kč

The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain...

Informace o knize

Autor

Abdelhak M. Zoubir

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2007

Stránek

232

EAN

9780521034050

ISBN

0521034051

Enbook ID

04089864

Vydavatel

Cambridge University Press

Hmotnost

380

Rozměry

170 x 244 x 12

Kompletní popis

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 and its limitations. The authors focus on bootstrap signal detection in Gaussian and non-Gaussian interference as well as bootstrap model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB. The book is aimed at graduate students and engineers, and includes applications to real-world problems in areas such as radar and sonar, biomedical engineering and automotive engineering.

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Bootstrap Techniques for Signal Processing

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