caa a22 4500 606205225 CHVBK 20210128101006.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s00034-015-9996-5 doi (NATIONALLICENCE)springer-10.1007/s00034-015-9996-5 Zero-Attracting Function Controlled VSSLMS Algorithm with Analysis [Elektronische Daten] [Cemil Turan, Mohammad Salman] The recently proposed function controlled variable step-size least-mean-square (FCVSSLMS) algorithm has shown high performance in different noise environments. The performance of the algorithm can be improved further if the system is sparse. In this paper, we propose a new algorithm based on the FCVSSLMS algorithm. The proposed algorithm imposes an approximate penalty in the cost function of the FCVSSLMS algorithm. We also present the convergence analysis of the proposed algorithm and derive the stability criterion. The performance of the proposed algorithm is compared to those of the variable step-size least-mean-square, more robust variable step-size least-mean-square, FCVSSLMS algorithm and reweighted zero-attracting least-mean-square algorithm in a system identification setting with an additive white Gaussian noise and additive correlated Gaussian noise. The proposed algorithm has shown high performance compared to the others in terms of the convergence rate and mean square deviation. Springer Science+Business Media New York, 2015 Sparse systems nationallicence VSSLMS algorithm nationallicence MRVSSLMS algorithm nationallicence System identification nationallicence Turan Cemil Electrical and Electronic Engineering Department, Mevlana (Rumi) University, Selcuklu, Konya, Turkey aut Salman Mohammad Electrical and Electronic Engineering Department, Mevlana (Rumi) University, Selcuklu, Konya, Turkey aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/9(2015-09-01), 3071-3080 0278-081X 34:9<3071 2015 34 34 https://doi.org/10.1007/s00034-015-9996-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-015-9996-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Turan Cemil Electrical and Electronic Engineering Department, Mevlana (Rumi) University, Selcuklu, Konya, Turkey aut NATIONALLICENCE 700 1- Salman Mohammad Electrical and Electronic Engineering Department, Mevlana (Rumi) University, Selcuklu, Konya, Turkey aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/9(2015-09-01), 3071-3080 0278-081X 34:9<3071 2015 34 34