DocumentCode
463931
Title
Robust Meridian Filtering
Author
Aysal, T.C. ; Barner, K.E.
Author_Institution
Group of Signal Process. & Commun., Delaware Univ., Newark, DE, USA
Volume
3
fYear
2007
fDate
15-20 April 2007
Abstract
The linear, median, myriad filtering structures are statistically related to the maximum likelihood (ML) estimates of location under Gaussian, Laplacian, and Cauchy statistics, respectively In this paper, we propose a filtering structure based on the ML estimate of the constructed and so-called meridian statistics. Analysis and simulations presented here indicate that the proposed filtering structure exhibits characteristics more robust than that of mean, median and myriad filtering structures.
Keywords
Gaussian processes; filtering theory; maximum likelihood estimation; Cauchy statistics; Gaussian statistics; Laplacian statistics; maximum likelihood estimates; myriad filtering structures; robust meridian filtering; Cost function; Filtering; Finite impulse response filter; Laplace equations; Maximum likelihood estimation; Nonlinear filters; Robustness; Statistical distributions; Statistics; Tail; filtering; maximum-likelihood estimation; nonlinear estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location
Honolulu, HI
ISSN
1520-6149
Print_ISBN
1-4244-0727-3
Type
conf
DOI
10.1109/ICASSP.2007.366786
Filename
4217816
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