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

fYear

2015

fDate

19-24 April 2015

Firstpage

604

Lastpage

608

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on

Conference_Location

South Brisbane, QLD

Type

conf

DOI

10.1109/ICASSP.2015.7178040

Filename

7178040