DocumentCode
696949
Title
Parametric design of nonlinear optimal filters
Author
Dougherty, Edward R.
Author_Institution
Department of Electrical Engineering, Texas A&M University
fYear
2000
fDate
4-8 Sept. 2000
Firstpage
1
Lastpage
3
Abstract
The design of optimal nonlinear filters for signal processing has involved mostly nonparametric estimation. This paper discusses the elements of parametric design for analog signal processing. It provides details for the class of conjunctive homothetic granulometric bandpass filters. These are nonlinear and their optimization in the signal-union-noise model for random sets can be completely characterized in terms of the granulometric size density induced by the granulometry from which the optimal filter is to be selected.
Keywords
Band-pass filters; Filtering theory; Mathematical model; Maximum likelihood detection; Nonlinear filters; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2000 10th European
Conference_Location
Tampere, Finland
Print_ISBN
978-952-1504-43-3
Type
conf
Filename
7075795
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