@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}, }