DocumentCode :
1112372
Title :
A further analysis for the minimum-variance deconvolution filter performance
Author :
Chi, Chong-yung
Author_Institution :
California Institute of Technology, Pasadena, CA
Volume :
35
Issue :
6
fYear :
1987
fDate :
6/1/1987 12:00:00 AM
Firstpage :
888
Lastpage :
889
Abstract :
Chi and Mendel [1], [9] analyzed the performance of the minimum-variance deconvolution (MVD). In this correspondence, a further analysis of the performance of the MVD filter is presented. We show that the MVD filter performs like an inverse filter and a whitening filter as 
, and like a matched filter as 
. The estimation error e (k) of the MVD filter is colored noise, but it becomes white when . This analysis also connects the error power spectral density of the MVD filter with the spectrum of the causal prediction error filter.
, and like a matched filter as . The estimation error e (k) of the MVD filter is colored noise, but it becomes white when . This analysis also connects the error power spectral density of the MVD filter with the spectrum of the causal prediction error filter.Keywords :
Autocorrelation; Covariance matrix; Deconvolution; Estimation error; Frequency response; Matched filters; Nonlinear filters; Performance analysis; Signal to noise ratio; Steady-state;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/TASSP.1987.1165211
Filename :
1165211
Link To Document :
