Name: Bootstrap Techniques for Signal Processing
Price: 6977.00 TWD
Availability: InStock
Author: Abdelhak M. Zoubir; D. Robert Iskander
ISBN: 9780521831277

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portada Bootstrap Techniques for Signal Processing

Bootstrap Techniques for Signal Processing

Type

Physical Book

Publisher

Cambridge University Press

Author

Abdelhak M. Zoubir; D. Robert Iskander

Year

2004

Language

English

Pages

232

Format

Hardcover

ISBN

052183127x

ISBN13

9780521831277

Synopsis "Bootstrap Techniques for Signal Processing "

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 - Abdelhak M. Zoubir; D. Robert Iskander

Synopsis "Bootstrap Techniques for Signal Processing "

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