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 o...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2004
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 URL des Erstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xiv, 217 pages) |
| ISBN: | 9780511536717 |
| DOI: | 10.1017/CBO9780511536717 |
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
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| doi_str_mv | 10.1017/CBO9780511536717 |
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| id | DE-604.BV043945269 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:23Z |
| institution | BVB |
| isbn | 9780511536717 |
| language | English |
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| oclc_num | 850134672 |
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| physical | 1 online resource (xiv, 217 pages) |
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| spelling | Zoubir, Abdelhak M. Verfasser aut Bootstrap techniques for signal processing Abdelhak M. Zoubir, D. Robert Iskander Cambridge Cambridge University Press 2004 1 online resource (xiv, 217 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 Mathematik Signal processing / Mathematics Image processing / Mathematics Bootstrap (Statistics) Iskander, D. Robert Sonstige oth Erscheint auch als Druckausgabe 978-0-521-03405-0 Erscheint auch als Druckausgabe 978-0-521-83127-7 https://doi.org/10.1017/CBO9780511536717 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Zoubir, Abdelhak M. Bootstrap techniques for signal processing Mathematik Signal processing / Mathematics Image processing / Mathematics Bootstrap (Statistics) |
| title | Bootstrap techniques for signal processing |
| title_auth | Bootstrap techniques for signal processing |
| title_exact_search | Bootstrap techniques for signal processing |
| title_full | Bootstrap techniques for signal processing Abdelhak M. Zoubir, D. Robert Iskander |
| title_fullStr | Bootstrap techniques for signal processing Abdelhak M. Zoubir, D. Robert Iskander |
| title_full_unstemmed | Bootstrap techniques for signal processing Abdelhak M. Zoubir, D. Robert Iskander |
| title_short | Bootstrap techniques for signal processing |
| title_sort | bootstrap techniques for signal processing |
| topic | Mathematik Signal processing / Mathematics Image processing / Mathematics Bootstrap (Statistics) |
| topic_facet | Mathematik Signal processing / Mathematics Image processing / Mathematics Bootstrap (Statistics) |
| url | https://doi.org/10.1017/CBO9780511536717 |
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