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

Volume

6

fYear

2001

fDate

2001

Firstpage

3945

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940707

Filename

940707