Polynomial sparse adaptive algorithm. Issue 25 (1st December 2016)

• Record Type: Journal Article
• Authors: Maheshwari, J.; George, N.V.
• Is Part Of: Electronics letters. Volume 52:Issue 25(2016)
• Page Start: 2063
• Page End: 2065
• Publication Date: 2016-12-01
• Subjects: acoustic signal processing; polynomial sparse adaptive algorithm -- sparse learning algorithm -- near‐zero‐coefficients -- acoustic feedback path -- ear digital hearing aid; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2016.3747
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Sparse learning algorithms for system identification differ from their non‐sparse counterparts in their improved ability in quickly identifying the zero coefficients in a sparse system. This improvement has been achieved using the principle of zero attraction, whereby the near zero coefficients of the model are forced to zero. In order to further improve the zero attraction capability of sparse adaptive algorithms, an attempt has been made to design a polynomial sparse adaptive algorithm. The enhanced modelling ability of the proposed scheme is evident from the simulation results. The proposed method has also been successfully applied in modelling an acoustic feedback path in a behind the ear digital hearing aid.