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An algebraic step size least mean fourth algorithm for acoustic communication channel estimation
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 Title & Authors
An algebraic step size least mean fourth algorithm for acoustic communication channel estimation
Lim, Jun-Seok;
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 Abstract
The least-mean fourth (LMF) algorithm is well known for its fast convergence and low steady-state error especially in non-Gaussian noise environments. Recently, there has been increasing interest in the least mean square (LMS) algorithms with variable step size. It is because the variable step-size LMS algorithms have shown to outperform the conventional fixed step-size LMS in the various situations. In this paper, a variable step-size LMF algorithm is proposed, which adopts an algebraic optimal step size as a variable step size. It is expected that the proposed algorithm also outperforms the conventional fixed step-size LMF. The superiority of the proposed algorithm is confirmed by the simulations in the time invariant and time variant channels.
 Keywords
Acoustic communication;Channel estimation;LMF;Algebraic optimal step-size;
 Language
Korean
 Cited by
1.
Two regularization constant selection methods for recursive least squares algorithm with convex regularization and their performance comparison in the sparse acoustic communication channel estimation, The Journal of the Acoustical Society of Korea, 2016, 35, 5, 383  crossref(new windwow)
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