The proportionate normalized least mean square (PNLMS) algorithm was developed for use in network echo cancelers. In comparison to the normalized least mean square (NLMS) algorithm, PNLMS has a very fast initial convergence and tracking when the echo path is sparse. Unfortunately, when the impulse response is dispersive, the PNLMS converges much slower than NLMS. This implies that the rule proposed in PNLMS is far from optimal. In many simulations, it seems that we fully benefit from PNLMS only when the impulse response is close to a delta function. We propose a new rule that is more reliable than the one used in PNLMS. Many simulations show that the new algorithm (improved PNLMS) performs better than NLMS and PNLMS, whatever the nature of the impulse response
J. Benesty and S. L. Grant, "An Improved PNLMS Algorithm," Proceedings of the 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002. ICASSP '02, Institute of Electrical and Electronics Engineers (IEEE), Jan 2002.
The definitive version is available at http://dx.doi.org/10.1109/ICASSP.2002.5744994
2002 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002. ICASSP '02
Electrical and Computer Engineering
Keywords and Phrases
NLMS Algorithm; PNLMS Algorithm; Adaptive Algorithms; Adaptive Filters; Adaptive Signal Processing; Convergence; Convergence of Numerical Methods; Delta Function; Digital Simulation; Echo Suppression; Filtering Theory; Impulse Response; Least Mean Squares Methods; Network Echo Cancelers; Normalized Least Mean Square Algorithm; Simulations; Telephone Networks; Tracking; Transient Response
Article - Conference proceedings
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