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ICASSP
2007
IEEE

Variable Regularized Fast Affine Projections

9 years 1 months ago
Variable Regularized Fast Affine Projections
This paper introduces a variable regularization method for the fast affine projection algorithm (VR-FAP). It is inspired by a recently introduced technique for variable regularization of the classical, affine projection algorithm (VR-APA). In both algorithms, the regularization parameter varies as a function of the excitation, measurement noise, and residual error energies. Because of the dependence on the last parameter, VR-APA and VR-FAP demonstrate the desirable property of fast convergence (via a small regularization value) when the convergence is poor and deep convergence/immunity to measurement noise (via a large regularization value) when the convergence is good. While the regularization parameter of APA is explicitly available for on-line modification, FAP's regularization is only set at initialization. To overcome this problem we use noise-injection with the noisepower proportional to the variable regularization parameter. As with their fixed regularization versions, VR-...
Deepak Challa, Steven L. Grant, Asif Iqbal Mohamma
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2007
Where ICASSP
Authors Deepak Challa, Steven L. Grant, Asif Iqbal Mohammad
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