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The data-selective constrained affine-projection algorithm

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3 Author(s)
Werner, S. ; Lab. of Signal Process., Helsinki Univ. of Technol., Espoo, Finland ; Apolinario, J.A., Jr. ; de Campos, M.L.R.

This paper introduces a constrained version of the recently proposed set-membership affine projection algorithm based on the set-membership criteria for coefficient update. The algorithm is suitable for linearly constrained minimum-variance filtering applications. The data-selective property of the proposed algorithm greatly reduces the computational burden as compared with a nonselective approach. Simulation results show the good performance in terms of convergence, final misadjustment, and reduced computational complexity

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Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on  (Volume:6 )

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