DocumentCode
1436215
Title
Optimality of the myriad filter in practical impulsive-noise environments
Author
Gonzalez, Juan G. ; Arce, Gonzalo R.
Author_Institution
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
Volume
49
Issue
2
fYear
2001
fDate
2/1/2001 12:00:00 AM
Firstpage
438
Lastpage
441
Abstract
Linear filtering theory has been largely motivated by the characteristics of Gaussian signals. In the same manner, the proposed myriad filtering methods are motivated by the need for a flexible filter class with high statistical efficiency in non-Gaussian impulsive environments that can appear in practice. We introduce several important properties of the myriad filter and prove its optimality in the family of α-stable distributions
Keywords
filtering theory; impulse noise; maximum likelihood estimation; nonlinear filters; signal processing; α-stable distributions; filtering theory; impulsive-noise environments; myriad filter; nonGaussian impulsive environments; optimality; Acoustic noise; Filtering theory; Image processing; Laboratories; Noise robustness; Noise shaping; Nonlinear filters; Probability distribution; Signal processing algorithms; Working environment noise;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.902126
Filename
902126
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