9780521831277
Bootstrap Techniques For Signal Processing - Abdelhak M. Zoubir
Cambridge University Press (2004)
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Signal processing - Mathematics, Image processing, Bootstrap (Statistics)

The statistical bootstrap is a powerfool tool in signal processing. 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.

Product Details
LoC Classification TK5102.9 .Z68 2004
Dewey 621.3822
No. of Pages 232
Height x Width 249 x 178 mm
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