Advanced System Identification Techniques for Acoustics Enhancement

نویسندگان

  • Yuchang Cao
  • Mark Poletti
چکیده

This paper proposes a novel scheme of adaptive system identification for acoustics enhancement applications. A key contribution of this study is the development of the variable exponentially-weightedstepsize LMS (VES) algorithm based on the statistics of the overall varying characteristics of the estimate of room impulse responses. The modelling error of the VES algorithm can reduce to -20dB after only 2N iterations (N is the length of adaptive filter), about 4 times fwter than the normalised LMS algorithm under the test conditions.

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تاریخ انتشار 1998