UID:
almafu_9959328106102883
Format:
1 online resource (xx, 459 pages) :
,
illustrations
ISBN:
0471691844
,
9780471691846
,
0471676241
,
9780471676249
,
0471691852
,
9780471691853
,
1280272937
,
9781280272936
Content:
Nonlinear Signal Processing: A Statistical Approach focuses on unifying the study of a broad and important class of nonlinear signal processing algorithms which emerge from statistical estimation principles, and where the underlying signals are non-Gaussian, rather than Gaussian, processes. Notably, by concentrating on just two non-Gaussian models, a large set of tools is developed that encompass a large portion of the nonlinear signal processing tools proposed in the literature over the past several decades. Key features include:* Numerous problems at the end of each chapter to aid development.
Note:
Introduction --
,
Statistical foundations --
,
NonGaussian models --
,
Order statistics --
,
Statistical foundations of filtering --
,
Signal processing with order statistics --
,
Median and weighted median smoothers --
,
Weighted median filters --
,
Linear combination of order statistics --
,
Signal processing with the stable model --
,
Myriad smoothers --
,
Weighted myriad filters.
Additional Edition:
Print version: Arce, Gonzalo R. Nonlinear signal processing. Hoboken, N.J. : Wiley-Interscience, ©2005 ISBN 0471676241
Language:
English
Subjects:
Engineering
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471691852
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471691852
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471691852
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