A further analysis for the minimum-variance deconvolution filter performance
Abstract
Chi and Mendel (1984) analyzed the performance of minimum-variance deconvolution (MVD). In this correspondence, a further analysis of the performance of the MVD filter is presented. It is shown that the MVD filter performs like an inverse filter and a whitening filter as SNR goes to infinity, and like a matched filter as SNR goes to zero. The estimation error of the MVD filter is colored noise, but it becomes white when SNR goes to zero. This analysis also conects the error power-spectral density of the MVD filter with the spectrum of the causal-prediction error filter.
- Publication:
-
IEEE Transactions on Acoustics Speech and Signal Processing
- Pub Date:
- June 1987
- Bibcode:
- 1987ITASS..35..888C
- Keywords:
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- Convolution Integrals;
- Linear Filters;
- Signal Distortion;
- Signal To Noise Ratios;
- Error Analysis;
- Noise Measurement;
- Power Spectra;
- Variance;
- Electronics and Electrical Engineering