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|Title:||A novel automatic step-size adjustment approach in the LMS algorithm||Authors:||Wang, P.
|Issue Date:||2009||Citation:||Wang, P.,Kam, P.Y.,Chia, M.W. (2009). A novel automatic step-size adjustment approach in the LMS algorithm. Proceedings of the 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2009 : 867-871. ScholarBank@NUS Repository. https://doi.org/10.1109/WIRELESSVITAE.2009.5172563||Abstract:||A variable step-size is necessary in the least-mean-square (LMS) algorithm to achieve both fast convergence and a small final excess mean-square estimation error. As a well-studied area, many variations of the LMS algorithm with variable stepsizes have been proposed in the literature. A common point in these algorithms is that the step-size is computed according to some pre-specified formulas with preset control parameters, and therefore the generated step-size is a predetermined constant at each single time point. In this paper, we propose a novel parameter-free step-size adjustment approach, in which the step-size is viewed as a variable, and rechosen at each new time point to minimize a least-squares cost function. Experiments for the linear prediction of random processes show the effectiveness of the proposed approach in rapidly driving the mean-square estimation error to a small final steady-state value. The most significant feature of the new approach is that no control parameters need to be set in advance. © 2009 IEEE.||Source Title:||Proceedings of the 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2009||URI:||http://scholarbank.nus.edu.sg/handle/10635/68944||ISBN:||9781424440672||DOI:||10.1109/WIRELESSVITAE.2009.5172563|
|Appears in Collections:||Staff Publications|
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