Improved efficient proportionate affine projection algorithm based on l0 ‐norm for sparse system identification. Issue 1 (14th January 2014)

• Record Type: Journal Article
• Authors: Zhao, Haiquan; Yu, Yi
• Is Part Of: Journal of engineering. Volume 2014:Issue 1(2014)
• Page Start: 20
• Page End: 23
• Publication Date: 2014-01-14
• Subjects: acoustic signal processing -- adaptive filters -- convergence -- echo suppression; improved memorised improved proportionate affine projection algorithm -- convergence performance -- sparse system identification -- l0 ‐norm -- sparseness measure -- IMIPAPA algorithm -- SIMIPAPA algorithm -- acoustic echo cancellation -- adaptive filter; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2013.0129
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : A new improved memorised improved proportionate affine projection algorithm (IMIPAPA) is proposed to improve the convergence performance of sparse system identification, which incorporates l 0 ‐norm as a measure of sparseness into a recently proposed MIPAPA algorithm. In addition, a simplified implementation of the IMIPAPA (SIMIPAPA) with low‐computational burden is presented while maintaining the consistent convergence performance. The simulation results demonstrate that the IMIPAPA and SIMIPAPA algorithms outperform the MIPAPA algorithm for sparse system identification.