Bootstrap Techniques for Signal Processing
ISBN-13:
9780521034050
ISBN-10:
0521034051
Edition:
Illustrated
Author:
Abdelhak M. Zoubir, D. Robert Iskander
Publication date:
2007
Publisher:
Cambridge University Press
Format:
Paperback
232 pages
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Book details
ISBN-13:
9780521034050
ISBN-10:
0521034051
Edition:
Illustrated
Author:
Abdelhak M. Zoubir, D. Robert Iskander
Publication date:
2007
Publisher:
Cambridge University Press
Format:
Paperback
232 pages
Summary
Bootstrap Techniques for Signal Processing (ISBN-13: 9780521034050 and ISBN-10: 0521034051), written by authors
Abdelhak M. Zoubir, D. Robert Iskander, was published by Cambridge University Press in 2007.
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Description
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 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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