Title :
Signal-adaptive robust time-varying Wiener filters: best subspace selection and statistical analysis
Author :
Matz, Gerald ; Hlawatsch, Franz ; Raidl, Alfred
Author_Institution :
Inst. of Commun. & Radio-Frequency Eng., Tech. Univ. Wien, Austria
Abstract :
We propose a signal-adaptive robust time-varying Wiener filter for nonstationary signal estimation/enhancement. This filter uses projections onto local cosine subspaces and a novel “best subspace” algorithm. It allows efficient online operation including stable online estimation of design parameters. A statistical analysis is provided, and a speech enhancement example is considered
Keywords :
Wiener filters; adaptive filters; adaptive signal processing; numerical stability; parameter estimation; speech enhancement; statistical analysis; time-varying filters; best subspace selection; nonstationary signal estimation; parameter estimation; projections onto local cosine subspaces; robust Wiener filters; signal-adaptive Wiener filters; speech enhancement; stable online operation; statistical analysis; time-varying Wiener filters; Minimax techniques; Robustness; Signal design; Signal processing; Speech enhancement; Statistical analysis; Time frequency analysis; Time varying systems; Uncertainty; Wiener filter;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940707
