Title :
Distortion measures via parametric filtering
Author :
Li, Ta-Hsin ; Gibson, Jerry D.
Author_Institution :
Dept. of Stat., Texas A&M Univ., College Station, TX, USA
Abstract :
Distortion measures are proposed on the basis of parametric filtering, a technique of signal characterization that combines a parametric filter bank with an analysis of first-order autocorrelation. The robustness of the distortion measures against narrow-band interference and spectral notch filtering is investigated
Keywords :
band-pass filters; correlation methods; filtering theory; interference (signal); notch filters; spectral analysis; distortion measures; first-order autocorrelation; narrow band interference; parametric filter bank; parametric filtering; robustness; signal characterization; spectral notch filtering; Autocorrelation; Contamination; Distortion measurement; Filter bank; Filtering; Narrowband; Noise robustness; Pollution measurement; Signal analysis; Speech analysis;
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
DOI :
10.1109/ISIT.1995.550407
