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ISBN: 9780511192470
ID: 9780511192470
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. 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., Cambridge University Press
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2004, ISBN: 9780511192470
ID: 5584546
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. 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. eBooks, Computing~~Computer Science~~Signal Processing, Bootstrap Techniques For Signal Processing~~EBook~~9780511192470~~Abdelhak M. Zoubir, D. Robert Iskander, , Bootstrap Techniques For Signal Processing, Abdelhak M. Zoubir, 9780511192470, Cambridge University Press, 05/06/2004, , , , Cambridge University Press
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ISBN: 9780511192470
ID: 9780511192470
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., [PU: Cambridge University Press]
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ISBN: 9780511192470
ID: 9780511192470
[KW: PDF ,UNK ,SCIENCE ,COMMUNICATIONS ENGINEERING , TELECOMMUNICATIONS ,SIGNAL PROCESSING] PDF ,UNK ,SCIENCE ,COMMUNICATIONS ENGINEERING , TELECOMMUNICATIONS ,SIGNAL PROCESSING, [PU: Cambridge University Press]
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2004, ISBN: 9780511192470
ID: 26204327
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Title: | Bootstrap Techniques for Signal Processing |
ISBN: | 9780511192470 |
Details of the book - Bootstrap Techniques for Signal Processing
EAN (ISBN-13): 9780511192470
Publishing year: 2004
Publisher: Cambridge University Press
Book in our database since 26.07.2009 12:48:20
Book found last time on 04.01.2017 19:59:32
ISBN/EAN: 9780511192470
ISBN - alternate spelling:
978-0-511-19247-0
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