Title :
An improved variable step-size zero-point attracting projection algorithm
Author :
Jianming Liu ; Grant, Steven L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
Abstract :
This paper proposes an improved variable step-size (VSS) scheme for zero-point attracting projection (ZAP) algorithm. The proposed VSS is proportional to the sparseness difference between filter coefficients and the true impulse response. Meanwhile, it works for both sparse and non-sparse system identification, and simulation results demonstrate that the proposed algorithm could provide both faster convergence rate and better tracking ability than previous ones.
Keywords :
adaptive filters; compressed sensing; transient response; VSS scheme; ZAP algorithm; convergence rate; filter coefficients; improved variable step-size scheme; non-sparse system identification; sparseness difference; tracking ability; true impulse response; zero-point attracting projection algorithm; Adaptive filters; Current measurement; Dispersion; Filtering algorithms; IIR filters; Least squares approximations; System identification; Variable step-size; adaptive filter; sparse system identification; zero-point attracting projection;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7178040
