DocumentCode :
2113793
Title :
Generalized transfer function estimation using evolutionary spectral deblurring
Author :
Shah, S.I. ; Chaparro, L.F. ; El-Jaroudi, A.
Author_Institution :
Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
Volume :
4
fYear :
1998
fDate :
12-15 May 1998
Firstpage :
2401
Abstract :
We present a new technique for estimating the generalized transfer function (GTF) of a time-varying filter from time-frequency representations (TFRs) of its output. We use the fact that many of these representations can be written as blurred versions of the GTF. The approach consists in minimizing the error between the TFR found from the data and that found by blurring the GTF. The problem as such has many solutions. We, therefore, additionally constrain it to minimize the distance between the GTF-based spectrum and the autoterms of the Wigner distribution, suppressing the cross terms using an appropriate signal dependent mask function. To illustrate the performance of the proposed procedure we apply it to the spectral representation of speech and to signal masking and demonstrate its superior performance over the existing methods
Keywords :
Wigner distribution; deconvolution; filtering theory; parameter estimation; signal representation; spectral analysis; speech processing; time-frequency analysis; time-varying filters; transfer functions; GTF-based spectrum; Wigner distribution; autoterms; cross terms suppression; deconvolution; error minimisation; evolutionary spectral deblurring; generalized transfer function estimation; performance; signal dependent mask function; spectral representation; speech; time-frequency representations; time-varying filter; Closed-form solution; Cost function; Deconvolution; Displays; Entropy; Fourier transforms; Frequency estimation; Gradient methods; Time factors; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
ISSN :
1520-6149
Print_ISBN :
0-7803-4428-6
Type :
conf
DOI :
10.1109/ICASSP.1998.681634
Filename :
681634
Link To Document :
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