Title :
The data-selective constrained affine-projection algorithm
Author :
Werner, Stefan ; Apolinário, José A. ; De Campos, Marcello L R
Author_Institution :
Lab. of Signal Process., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
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
Keywords :
adaptive filters; adaptive signal processing; computational complexity; convergence of numerical methods; filtering theory; minimisation; set theory; coefficient update; constrained affine-projection; convergence; data-selective algorithm; final misadjustment; linearly constrained filtering; minimum-variance filtering; performance; reduced computational complexity; set-membership criteria; Adaptive filters; Computational complexity; Computational modeling; Convergence; Counting circuits; Estimation error; Filtering algorithms; Laboratories; Projection algorithms; Signal processing algorithms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940657
