Frequency-domain adaptive algorithm for network echo cancellation in VoIP
EURASIP Journal on Audio, Speech, and Music Processing - Intelligent Audio, Speech, and Music Processing Applications
Adaptive combination of proportionate filters for sparse echo cancellation
IEEE Transactions on Audio, Speech, and Language Processing
Sparseness-controlled adaptive tap algorithms for partial update adaptive filters
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in theory and methods for nonstationary signal analysis
Affine projection algorithm with selective projections
Signal Processing
A variable step-size selective partial update LMS algorithm
Digital Signal Processing
Digital Signal Processing
Modified partial update EDS algorithms for adaptive filtering
Analog Integrated Circuits and Signal Processing
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Selective-tap algorithms employing the MMax tap selection criterion were originally proposed for low-complexity adaptive filtering. The concept has recently been extended to multichannel adaptive filtering and applied to stereophonic acoustic echo cancellation. This paper first briefly reviews least mean square versions of MMax selective-tap adaptive filtering and then introduces new recursive least squares and affine projection MMax algorithms. We subsequently formulate an analysis of the MMax algorithms for time-varying system identification by modeling the unknown system using a modified Markov process. Analytical results are derived for the tracking performance of MMax selective tap algorithms for normalized least mean square, recursive least squares, and affine projection algorithms. Simulation results are shown to verify the analysis.