Title :
Proportionate normalized least-mean-squares adaptation in echo cancelers
Author :
Duttweiler, Donald L.
Author_Institution :
Lucent Technol. Bell Labs., Holmdel, NJ, USA
fDate :
9/1/2000 12:00:00 AM
Abstract :
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 the adaptation quality (misadjustment noise) constant. PNLMS adaptation only entails a modest increase in computational complexity
Keywords :
adaptive filters; adaptive signal processing; computational complexity; convergence of numerical methods; echo suppression; filtering theory; least mean squares methods; NLMS; PNLMS adaptation algorithm; adaptation gain; adaptation quality; adaptive filter; algorithm convergence; computational complexity; customer loop; echo cancelers; echo paths; misadjustment noise; normalized least-mean-squares; proportionate normalized least-mean-squares adaptation; tap position; tap weight estimate; two-wire transmission; Computational complexity; Delay; Equations; Filters; Helium; Impedance; Monitoring; Network synthesis; Noise cancellation; Speech;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on