Mean-square performance of the family of adaptive filters with selective partial updates

Authors:
Mohammad Shams Esfand Abadi;John Håkon Husøy
Affiliations:
Department of Electrical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran;Department of Electrical and Computer Engineering, University of Stavanger, N-4036, Stavanger, Norway
Venue:
Signal Processing
Year:
2008

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Abstract

In this paper we present a general formalism for the family of adaptive filter algorithms with selective partial updates. Based on this, the mean-square performance analysis of this family of adaptive filters is presented in a unified way. This analysis is based on energy conservation arguments and does not need to assume a Gaussian or white distribution for the regressors. We demonstrate through simulations that the results are useful in predicting the performance of this family of adaptive filters.