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Signal-adaptive robust time-varying Wiener filters: best subspace selection and statistical analysis

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3 Author(s)
G. Matz ; Inst. of Commun. & Radio-Frequency Eng., Tech. Univ. Wien, Austria ; F. Hlawatsch ; A. Raidl

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

Published in:

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on  (Volume:6 )

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