Title :
Robust Meridian Filtering
Author :
Aysal, T.C. ; Barner, K.E.
Author_Institution :
Group of Signal Process. & Commun., Delaware Univ., Newark, DE, USA
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366786