Set-membership proportionate affine projection algorithms
EURASIP Journal on Audio, Speech, and Music Processing
An Affine Projection Algorithm with Two Numbers of Input Vectors
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02
A variable step-size proportionate affine projection algorithm for network echo cancellation
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Convergence behavior of affine projection algorithms
IEEE Transactions on Signal Processing
A family of adaptive filter algorithms with decorrelatingproperties
IEEE Transactions on Signal Processing
Mean-square performance of a family of affine projection algorithms
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A Variable Step-Size Affine Projection Algorithm Designed for Acoustic Echo Cancellation
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing
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In the affine projection adaptive filtering algorithm, convergence is sped up by increasing the projection order but with an unwelcome consequence of increased steady-state misalignment. To address this unfavorable compromise, we propose a new affine projection algorithm with selective projections. This algorithm adaptively changes the projection order according to the estimated variance of the filter output error. The error variance is estimated using exponential window averaging with a variable forgetting factor and a simple moving averaging technique. The input regressors are selected according to two different criteria to update the filter coefficients at each iteration. Simulations, carried out for different adaptive filtering applications, demonstrate that the new algorithm provides fast initial convergence and low steady-state misalignment without necessarily trading off one for the other in addition to a significant reduction in average computational complexity.