Young-Seok Choi
SparsityAware and NoiseRobust Subband Adaptive Filter
137 - 140
2016
10
1
International Journal of Electrical and Computer Engineering
https://publications.waset.org/pdf/10003881
https://publications.waset.org/vol/109
World Academy of Science, Engineering and Technology
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 l1norm optimization and l0norm penalty of the weight vector
in the cost function, the proposed l0norm sign SAF (l0SSAF)
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
l0norm 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.
Open Science Index 109, 2016