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A variable step size strategy for sparse system identification
10th International Multi-Conferences on Systems, Signals & Devices 2013 (SSD13), 2013This work proposes a novel two-strategy approach to improve the performance of a recently-proposed (RZA-LMS) algorithm for sparse environments. The first and key strategy uses a novel h -norm-based variable step-size scheme to improve the performance of both the conventional and the RZA-LMS algorithms.
Muhammad O. Bin Saeed, Azzedine Zerguine
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A variable step-size sign algorithm for channel estimation
Signal Processing, 2014This paper proposes a new variable step-size sign algorithm (VSSA) for unknown channel estimation or system identification, and applies this algorithm to an environment containing two-component Gaussian mixture observation noise. The step size is adjusted using the gradient-based weighted average of the sign algorithm.
Yuan-Ping Li, Ta-Sung Lee, Bing-Fei Wu
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A variable step size algorithm with generate-and-evaluate function
Proceedings of ISCAS'95 - International Symposium on Circuits and Systems, 2002A new variable step-size algorithm which has a framework similar to the variable step (VS) adaptive filter algorithm given by R. W. Harris et al. (1986) is introduced. The methodology is to periodically invoke a generate-and-evaluate function during the adaptation.
Chi Yin Chung +3 more
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New Variable Step-size of l1-LMS Algorithm
Proceedings of the 8th International Conference on Signal Processing Systems, 2016In order to quickenthe convergence rateand enhanceperformanceforanti-noise when identify the unknown coefficients of a sparse system. A variable step-size l1-LMS algorithm is proposed. In this paper, using current error and correlation value of errorto adjust step-size and zero-attracting part.
Sihai Guan, Zhi Li, Hairu Zhang
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Variable Step Size Multistep Methods for Parabolic Problems
SIAM Journal on Numerical Analysis, 1982We study the error due to the discretization in time of a parabolic problem by variable step size multistep methods. It is proved that the multistep methods remain stable when the rate of step changing is not too great. Error estimates are obtained for A-stable and strongly $A(\Theta )$-stable methods $(0 \leqq \Theta \leqq {\pi / 2})$.
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A smoothing variable step size algorithm
IET International Conference on Wireless Mobile and Multimedia Networks Proceedings (ICWMMN 2006), 2006null Yan Huo +3 more
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The step-size distance in muscle contraction: properties and estimates
International Journal of Biological Macromolecules, 1996G F Elliott +2 more
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