@article{(Open Science Index):https://publications.waset.org/pdf/10003881,
	  title     = {Sparsity-Aware and Noise-Robust Subband Adaptive Filter},
	  author    = {Young-Seok Choi},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents a subband adaptive filter (SAF)
for a system identification where an impulse response is sparse
and disturbed with an impulsive noise. Benefiting from the uses
of l1-norm optimization and l0-norm penalty of the weight vector
in the cost function, the proposed l0-norm sign SAF (l0-SSAF)
achieves both robustness against impulsive noise and much improved
convergence behavior than the classical adaptive filters. Simulation
results in the system identification scenario confirm that the proposed
l0-norm SSAF is not only more robust but also faster and more
accurate than its counterparts in the sparse system identification in
the presence of impulsive noise.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {10},
	  number    = {1},
	  year      = {2016},
	  pages     = {137 - 140},
	  ee        = {https://publications.waset.org/pdf/10003881},
	  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},
	}