@article{(Open Science Index):https://publications.waset.org/pdf/10003838,
	  title     = {Sparsity-Aware Affine Projection Algorithm for System Identification},
	  author    = {Young-Seok Choi},
	  country	= {},
	  institution	= {},
	  abstract     = {This work presents a new type of the affine projection
(AP) algorithms which incorporate the sparsity condition of a
system. To exploit the sparsity of the system, a weighted l1-norm
regularization is imposed on the cost function of the AP algorithm.
Minimizing the cost function with a subgradient calculus and
choosing two distinct weighting for l1-norm, two stochastic gradient
based sparsity regularized AP (SR-AP) algorithms are developed.
Experimental results exhibit that the SR-AP algorithms outperform
the typical AP counterparts for identifying sparse systems.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {10},
	  number    = {1},
	  year      = {2016},
	  pages     = {121 - 124},
	  ee        = {https://publications.waset.org/pdf/10003838},
	  url   	= {https://publications.waset.org/vol/109},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 109, 2016},