Proportionate normalized least-mean-squares adaptation in echo cancelers

نویسنده

  • Donald L. Duttweiler
چکیده

On typical echo paths, the proportionate normalized least-mean-squares (PNLMS) adaptation algorithm converges significantly faster than the normalized least-mean-squares (NLMS) algorithm generally used in echo cancelers to date. In PNLMS adaptation, the adaptation gain at each tap position varies from position to position and is roughly proportional at each tap position to the absolute value of the current tap weight estimate. The total adaptation gain being distributed over the taps is carefully monitored and controlled so as to hold adaptation quality (misadjustment noise) constant. PNLMS adaptation only entails a modest increase in computational complexity.

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عنوان ژورنال:
  • IEEE Trans. Speech and Audio Processing

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2000