Transient analysis of adaptive filters with error nonlinearities

Authors:
T.Y. Al-Naffouri;A.H. Sayed
Affiliations:
Dept. of Electr. Eng., Stanford Univ., CA, USA;-
Venue:
IEEE Transactions on Signal Processing
Year:
2003

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Abstract

The paper develops a unified approach to the transient analysis of adaptive filters with error nonlinearities. In addition to deriving earlier results in a unified manner, the approach also leads to new performance results without restricting the regression data to being Gaussian or white. The framework is based on energy-conservation arguments and avoids the need for explicit recursions for the covariance matrix of the weight-error vector.