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.
"synopsis" may belong to another edition of this title.
Review:
'... an excellent text for a graduate level engineering course or a useful reference for those who wish to apply bootstrap techniques in their work.' Annals of Biomedical Engineering
Book Description: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.
"About this title" may belong to another edition of this title.
Other Popular Editions of the Same Title
Top Search Results from the AbeBooks Marketplace
1. Bootstrap Techniques for Signal Processing
Published by
Cambridge University Press
(2004)
ISBN 10: 052183127X
ISBN 13: 9780521831277
New
Hardcover
Quantity Available: 1
Seller:
Rating
Book Description Cambridge University Press, 2004. Hardcover. Condition: New. Seller Inventory # DADAX052183127X
Buy New
£ 86.28
Convert currency
2. Bootstrap Techniques for Signal Processing
Published by
Cambridge University Press
(2004)
ISBN 10: 052183127X
ISBN 13: 9780521831277
New
Quantity Available: > 20
Seller:
Rating
Book Description Cambridge University Press, 2004. HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9780521831277
Buy New
£ 92.68
Convert currency
3. Bootstrap Techniques for Signal Processing
Published by
Cambridge University Press
(2004)
ISBN 10: 052183127X
ISBN 13: 9780521831277
New
Quantity Available: > 20
Book Description Cambridge University Press, 2004. HRD. Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9780521831277
Buy New
£ 100.12
Convert currency
4. Bootstrap Techniques for Signal Processing
ISBN 10: 052183127X
ISBN 13: 9780521831277
New
Hardcover
Quantity Available: 1
Seller:
Rating
Book Description 2004. Hardback. Condition: NEW. 9780521831277 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Seller Inventory # HTANDREE0478607
Buy New
£ 99.51
Convert currency
5. Bootstrap Techniques for Signal Processing
Published by
Cambridge University Press
(2004)
ISBN 10: 052183127X
ISBN 13: 9780521831277
New
Hardcover
Quantity Available: 1
Seller:
Rating
Book Description Cambridge University Press, 2004. Hardcover. Condition: Brand New. illustrated edition edition. 217 pages. 9.75x7.00x0.50 inches. In Stock. Seller Inventory # __052183127X
Buy New
£ 102.67
Convert currency
6. Bootstrap Techniques for Signal Processing
Published by
West Nyack, New York, U.S.A.: Cambridge Univ Pr
(2004)
ISBN 10: 052183127X
ISBN 13: 9780521831277
New
Hardcover
Quantity Available: 5
Book Description West Nyack, New York, U.S.A.: Cambridge Univ Pr, 2004. Hardcover. Condition: New. Ship out 1-2 business day,Brand new,US edition, Free tracking number usually 2-4 biz days delivery to worldwide Same shipping fee with US, Canada,Europe country, Australia, item will ship out from either LA or Asia,ht. Seller Inventory # ABE-7730855872
Buy New
£ 109.79
Convert currency
7. Bootstrap Techniques for Signal Processing (Hardback)
Published by
CAMBRIDGE UNIVERSITY PRESS, United Kingdom
(2010)
ISBN 10: 052183127X
ISBN 13: 9780521831277
New
Hardcover
Quantity Available: 10
Seller:
Rating
Book Description CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2010. Hardback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****.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. Seller Inventory # APC9780521831277
Buy New
£ 119
Convert currency
8. Bootstrap Techniques for Signal Processing (Hardback)
Published by
CAMBRIDGE UNIVERSITY PRESS, United Kingdom
(2010)
ISBN 10: 052183127X
ISBN 13: 9780521831277
New
Hardcover
Quantity Available: 10
Seller:
Rating
Book Description CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2010. Hardback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****. 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. Seller Inventory # APC9780521831277
Buy New
£ 121.98
Convert currency
9. Bootstrap Techniques for Signal Processing
Published by
Cambridge University Press
(2018)
ISBN 10: 052183127X
ISBN 13: 9780521831277
New
Hardcover
Quantity Available: > 20
Seller:
Rating
Book Description Cambridge University Press, 2018. Hardcover. Condition: New. Never used! This item is printed on demand. Seller Inventory # 052183127X
Buy New
£ 122.22
Convert currency
10. Bootstrap Techniques for Signal Processing
Published by
Cambridge University Press
ISBN 10: 052183127X
ISBN 13: 9780521831277
New
Hardcover
Quantity Available: > 20
Seller:
Rating
Book Description Cambridge University Press. Hardcover. Condition: New. 232 pages. Dimensions: 9.8in. x 7.0in. x 0.7in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Hardcover. Seller Inventory # 9780521831277
Buy New
£ 145.05
Convert currency