Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
Non-negative Matrix Factorization with Sparseness Constraints
The Journal of Machine Learning Research
Comparative analysis of traditional telephone and voice-over-Internet protocol (VoIP) systems
ISEE '04 Proceedings of the International Symposium on Electronics and the Environment
EURASIP Journal on Audio, Speech, and Music Processing
A low delay and fast converging improved proportionate algorithm for sparse system identification
EURASIP Journal on Audio, Speech, and Music Processing
Advances in Network and Acoustic Echo Cancellation
Advances in Network and Acoustic Echo Cancellation
Complexity reduction of the NLMS algorithm via selectivecoefficient update
IEEE Transactions on Signal Processing
Proportionate adaptive algorithms for network echo cancellation
IEEE Transactions on Signal Processing
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing
Improving the transcoding capability of speech coders
IEEE Transactions on Multimedia
Design and analysis of optimal adaptive de-jitter buffers
Computer Communications
Multi-delay block frequency domain adaptive filters with sparse partial subblock update
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
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We propose a new low complexity, low delay, and fast converging frequency-domain adaptive algorithm for network echo cancellation in VoIP exploiting MMax and sparse partial (SP) tap-selection criteria in the frequency domain. We incorporate these tap-selection techniques into the multidelay filtering (MDF) algorithm in order to mitigate the delay inherent in frequency-domain algorithms. We illustrate two such approaches and discuss their tradeoff between convergence performance and computational complexity. Simulation results show an improvement in convergence rate for the proposed algorithm over MDF and significantly reduced complexity. The proposed algorithm achieves a convergence performance close to that of the recently proposed, but substantially more complex improved proportionate MDF (IPMDF) algorithm.