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

Esfand Abadi, M. S ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. DOI: 10.1016/j.sigpro.2009.06.013
  3. Publisher: 2010
  4. Abstract:
  5. 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
  6. Keywords:
  7. Adaptive filter ; Affine projection ; Mean-square performance ; Selective partial update ; Selective regressor ; Subband ; Adaptive algorithms ; Adaptive filters ; Electric filters ; Energy conservation ; Adaptive filtering
  8. Source: Signal Processing ; Volume 90, Issue 1 , 2010 , Pages 197-206 ; 01651684 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0165168409002813?via%3Dihub