A further analysis for the minimum-variance deconvolution filter performance
Chong‐Yung Chi · IEEE Transactions on Acoustics Speech and Signal Processing · 1987
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 asSNR \rightarrow \infin, and like a matched filter asSNR \rightarrow 0. The estimation error e (k) of the MVD filter is colored noise, but it becomes white whenSNR \rightarrow 0. This analysis also connects the error power spectral density of the MVD filter with the spectrum of the causal prediction error filter.