Echo cancelers which cover longer impulse responses (greater than or equal to 64 ms) are desirable. Long responses create a need for more rapidly converging algorithms in order to meet the specifications for network echo cancelers devised by the ITU (International Telecommunication Union). In general, faster convergence implies a higher sensitivity to near-end disturbances, especially "double-talk." Previously, a fast converging algorithm called the proportionate NLMS (normalized least mean squares) algorithm (PNLMS) has been proposed. This algorithm exploits the sparseness of the echo path in order to increase the convergence rate. A robust version of PNLMS has also been presented which combines a double-talk detector with techniques from robust statistics to make the algorithm insensitive to double-talk. This paper presents a generalization of the robust PNLMS algorithm to a robust proportionate aAffine projection algorithm (APA) called PAPA that converges very fast

Meeting Name

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2000. ICASSP '00


Electrical and Computer Engineering

Keywords and Phrases

PAPA; PNLMS; Adaptive Filters; Convergence of Numerical Methods; Converging Algorithms; Double-Talk; Echo Path; Echo Suppression; Least Mean Squares Methods; Long Responses; Near-End Disturbances; Network Echo Cancellation; Normalized Least Mean Squares Algorithm; Proportionate NLMS; Robust Proportionate AAffine Projection Algorithm; Robust Proportionate Affine Projection Algorithm; Transient Response

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 2000 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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