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Bootstrap techniques for signal proc...

Iskander, D. Robert,

Bootstrap techniques for signal processing /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	621.382/2
書名/作者:	Bootstrap techniques for signal processing // Abdelhak M. Zoubir, D. Robert Iskander.
作者:	Zoubir, Abdelhak M.,
其他作者:	Iskander, D. Robert,
面頁冊數:	1 online resource (xiv, 217 pages) : : digital, PDF file(s).
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Signal processing - Mathematics.
標題:	Image processing - Mathematics.
標題:	Bootstrap (Statistics)
ISBN:	9780511536717 (ebook)
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1017/CBO9780511536717

Bootstrap techniques for signal processing /
Zoubir, Abdelhak M.,

Bootstrap techniques for signal processing /Abdelhak M. Zoubir, D. Robert Iskander. - 1 online resource (xiv, 217 pages) :digital, PDF file(s).

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.

ISBN: 9780511536717 (ebook)Subjects--Topical Terms:

338652
Signal processing
--Mathematics.

LC Class. No.: TK5102.9 / .Z68 2004

Dewey Class. No.: 621.382/2

Bootstrap techniques for signal processing /
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