Table of Contents
ISRN Signal Processing
Volume 2011 (2011), Article ID 180624, 5 pages
http://dx.doi.org/10.5402/2011/180624
Research Article

Affine Projection Algorithm Using Regressive Estimated Error

Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China

Received 24 February 2011; Accepted 30 March 2011

Academic Editors: A. Esposito and A. Krzyzak

Copyright © 2011 Shu Zhang and Yongfeng Zhi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Haykin, Adaptive Filter Theory, Prentice Hall, Englewood Cliffs, NJ, USA, 2002.
  2. K. Ozeki and T. Umeda, “An adaptive filtering algorithm using an orthogonal projection to an affine subspace and its properties,” Electronics and Communication in Japan, vol. 67, no. 5, pp. 19–27, 1984. View at Google Scholar · View at Scopus
  3. M. Rupp, “A family of adaptive filter algorithms with decorrelating properties,” IEEE Transactions on Signal Processing, vol. 46, no. 3, pp. 771–775, 1998. View at Google Scholar · View at Scopus
  4. S. G. Sankaran and A. A. Beex, “Fast generalized affine projection algorithm,” International Journal of Adaptive Control and Signal Processing, vol. 14, no. 6, pp. 623–641, 2000. View at Publisher · View at Google Scholar · View at Scopus
  5. S. J. M. de Almeida, J. C. M. Bermudez, N. J. Bershad, and M. H. Costa, “A statistical analysis of the affine projection algorithm for unity step size and autoregressive inputs,” IEEE Transactions on Circuits and Systems, vol. 52, no. 7, pp. 1394–1405, 2005. View at Publisher · View at Google Scholar · View at Scopus
  6. S. G. Sankaran and A. A. Beex, “Convergence behavior of affine projection algorithms,” IEEE Transactions on Signal Processing, vol. 48, no. 4, pp. 1086–1096, 2000. View at Publisher · View at Google Scholar · View at Scopus