Mean-square performance analysis of the family of selective partial update and selective regressor affine projection algorithms

Authors:
Mohammad Shams Esfand Abadi;Hamid Palangi
Affiliations:
Shahid Rajaee Teacher Training University, Department of Electrical Engineering, Tehran, Iran;Sharif University of Technology, Department of Electrical Engineering, Tehran, Iran
Venue:
Signal Processing
Year:
2010

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Abstract

In this paper we present a general formalism for the establishment and mean-square performance analysis of the family of selective partial update affine projection (SPU-AP), selective regressor affine projection (SR-AP), and selective partial update subband adaptive filter (SPU-SAF) algorithms. 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 these adaptive filter algorithms.