An Improved Variable Step-size Zero-point Attracting Projection Algorithm

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.

arXiv comment5 pages, ICASSP 2015. arXiv admin note: substantial text overlap with arXiv:1312.2612

References in corpus (2)

• A stochastic gradient approach on compressive sensing signal reconstruction based on adaptive filtering framework
• Proof of Convergence and Performance Analysis for Sparse Recovery via Zero-point Attracting Projection