@article{(Open Science Index):https://publications.waset.org/pdf/10003839,
	  title     = {Subband Adaptive Filter Exploiting Sparsity of System},
	  author    = {Young-Seok Choi},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents a normalized subband adaptive
filtering (NSAF) algorithm to cope with the sparsity condition of
an underlying system in the context of compressive sensing. By
regularizing a weighted l1-norm of the filter taps estimate onto the
cost function of the NSAF and utilizing a subgradient analysis,
the update recursion of the l1-norm constraint NSAF is derived.
Considering two distinct weighted l1-norm regularization cases, two
versions of the l1-norm constraint NSAF are presented. Simulation
results clearly indicate the superior performance of the proposed
l1-norm constraint NSAFs comparing with the classical NSAF.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {10},
	  number    = {1},
	  year      = {2016},
	  pages     = {125 - 128},
	  ee        = {https://publications.waset.org/pdf/10003839},
	  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},