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

نویسندگان

  • Gerald Matz
  • Franz Hlawatsch
  • Alfred Raidl
چکیده

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 on-line operation including stable online estimation of design parameters. A statistical analysis is provided, and a speech enhancement example is considered.

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تاریخ انتشار 2001