Set-membership proportionate affine projection algorithms
EURASIP Journal on Audio, Speech, and Music Processing
Wavelet-based MPNLMS adaptive algorithm for network echo cancellation
EURASIP Journal on Audio, Speech, and Music Processing
Region-Based Wavelet-Packet Adaptive Algorithm for Sparse Response Identification
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
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
A variable step-size proportionate affine projection algorithm for network echo cancellation
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
A class of sparseness-controlled algorithms for echo cancellation
IEEE Transactions on Audio, Speech, and Language Processing
Generalized wideband cyclic MUSIC
EURASIP Journal on Advances in Signal Processing
A unified view of adaptive variable-metric projection algorithms
EURASIP Journal on Advances in Signal Processing
On proportionate-type NLMS algorithms for fast decay of output error at all times
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
A PNLMS algorithm with individual activation factors
IEEE Transactions on Signal Processing
Stochastic model for the mean weight evolution of the IAF-PNLMS algorithm
IEEE Transactions on Signal Processing
Hi-index | 35.69 |
By analyzing the coefficient adaptation process of the steepest descent algorithm, the condition under which the fastest overall convergence will be achieved is obtained and the way to calculate optimal step-size control factors to satisfy that condition is formulated. Motivated by the results and using the stochastic approximation paradigm, the μ-law PNLMS (MPNLMS) algorithm is proposed to keep, in contrast to the proportionate normalized least-mean-square (PNLMS) algorithm, the fast initial convergence during the whole adaptation process in the case of sparse echo path identification. Modifications of the MPNLMS algorithm are proposed to lower the computational complexity.