An affine projection algorithm with evolving order

IEEE Signal Processing Letters

Volumn 16, Issue 11, 2009, Pages 937-940

  Kim, Seong Eun ^a   Kong, Se Jin ^b   Song, Woo Jin ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

^b SAMSUNG Electronics   (South Korea)

Author keywords

Adaptive filters; Affine projection algorithm (APA); Evolving order

Indexed keywords

AFFINE PROJECTION ALGORITHM (APA); AFFINE PROJECTION ALGORITHMS; EVOLUTIONARY METHOD; EVOLVING ORDER; FAST CONVERGENCE SPEED; OUTPUT ERRORS; STEADY STATE ERRORS;

ADAPTIVE FILTERING; ADAPTIVE FILTERS; ALGORITHMS; ELECTRIC FILTERS;

CONVERGENCE OF NUMERICAL METHODS;

EID: 69549110146     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2009.2027638     Document Type: Article

References (18)

1. B. Widrow and S.D. Sterns, Adaptive Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1985.
2. S. Haykin, Adaptive Filter Theory, 4th ed. Upper Saddle River, NJ: Prentice-Hall, 2002.
3. A. H. Sayed, Fundamentals of Adaptive Filtering. New York, Wiley: 2003.
4. K. Ozeki and T. Umeda, "An adaptive filtering algorithm using an orthogonal projection to an affine subspace and its properties," Electron. Commun. Jpn., vol. 67-A, no. 5, pp. 19-27, 1984.
5. S. L. Gay and S. Tavathia, "The fast affine projection algorithm," in Proc. 1995 IEEE Int. Conf. Acoustics, Speech, and Signal Process, May 1995, vol. 5, pp. 3023-3026.
6. M. Rupp, "A family of adaptive filter algorithms with decorrelating properties," IEEE Trans. Signal Process., vol. 46, no. 3, pp. 771-775, Mar. 1998.
7. S. G. Sankaran and A. A. (L). Beex, "Convergence behavior of affine projection algorithms," IEEE Trans. Signal Process, vol. 48, no. 4, pp. 1086-1096, Apr. 2000.
8. 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 Trans. Circuits Syst. I vol. 52, pp. 1394-1405, Jul. 2005.
9. I. Yamada, K. Slavakis, and K. Yamada, "An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques," IEEE Trans. Signal Process, vol. 50, no. 5, pp. 1091-1101, May 2002.
10. M. Yukawa and I. Yamada, "Pairwise optimal weight realization -acceleration technique for set-theoretic adaptive parallel subgradient projection algorithm," IEEE Trans. Signal Process, vol. 54, no. 12, pp. 4557-4571, Dec. 2006.
11. H.-C. Shin and A. H. Sayed, "Mean-square performance of a family of affine projection algorithms," IEEE Trans. Signal Process, vol. 52, no. 1, pp. 90-102, Jan. 2004.
12. S. Werner, P. S. R. Diniz, and J. E. W. Moreira, "Set-membership affine projection algorithm with variable data-reuse factor," in Proc. 2006 IEEE Int. Symp. Circuits Syst., May 2006, pp. 261-264.
13. S. Werner and P. S. R. Diniz, "Set-membership affine projection algorithm," IEEE Signal Process. Lett., vol. 8, no. 8, pp. 231-235, Aug. 2001.
14. ∞-norm based algorithms," IEEE Trans. Circuits Syst. I, vol. 54, no. 2, pp. 411-419, Feb. 2007.
15. N. R. Yousef and A. H. Sayed, "A unified approach to the steady-state and tracking analyses of adaptive filters," IEEE Trans. Signal Process, vol. 49, no. 2, pp. 314-324, Feb. 2001.
16. J. Benesty, H. Rey, L. R. Vega, and S. Tessens, "A nonparametric VSS NLMS algorithm," IEEE Signal Process. Lett., vol. 13, no. 10, pp. 581-584, Oct. 2006.
17. T. van Waterschoot, G. Rombouts, P. Verhoeveet, and M. Moonen, "Double-talk-robust prediction error identification algorithms for acoustic echo cancellation," IEEE Trans. Signal Process, vol. 55, no. 3, pp. 846-858, Mar. 2007.
18. J. E. Greenberg, "Modified LMS algorithms for speech processing with an adaptive noise canceller," IEEE Trans. Speech Audio Process, vol. 6, no. 4, pp. 338-351, Jul. 1998.