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
fDate :
2/1/2001 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
