DocumentCode :
3072768
Title :
Performance of minimum-variance deconvolution filter
Author :
Chi, Chong-yung ; Mendel, Jerry M.
Author_Institution :
Univ. of Southern California, Los Angeles, CA
Volume :
9
fYear :
1984
fDate :
30742
Firstpage :
500
Lastpage :
503
Abstract :
Recently, we observed zero phase and undershoot patterns in data processed by a minimum-variance deconvolution (MVD) filter. These observations motivated a careful analys is of the MVD filter, which, as we demonstrate in this paper, explains both the zero phase and undershoot patterns. This analysis also connects the MVD filter with the well-known prediction-error filter [6], and Berkhout´s two-sided least-squares inverse filter [7]. We show that the performance of the MVD filter depends heavily on the bandwidth of the source wavelet, and signal-to-noise ratio, and only slightly on data length.
Keywords :
Autoregressive processes; Communication channels; Convolution; Deconvolution; Extraterrestrial measurements; Filters; Pattern analysis; Reflection; Seismic measurements; Seismology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
Type :
conf
DOI :
10.1109/ICASSP.1984.1172499
Filename :
1172499
Link To Document :
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