Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
563984 | Signal Processing | 2008 | 11 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Mohammad Shams Esfand Abadi, John Håkon Husøy,