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3 December 2015 An improved S-function LMS algorithm
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Proceedings Volume 9794, Sixth International Conference on Electronics and Information Engineering; 97941B (2015) https://doi.org/10.1117/12.2205730
Event: Sixth International Conference on Electronics and Information Engineering, 2015, Dalian, China
Abstract
LMS algorithm based on the S-function has a small amount of calculation, faster convergence rate and good tracking properties for time-varying systems. But when the signal’s error is small, the step factor changes too fast, system identification is not quick enough and the controllable variables are few. To solve the shortcomings, an improved S-function algorithm has been proposed. Simulation results show that the convergence rate of the algorithm is superior to other improved algorithms, and the tracking property for the time-varying system is better than the improved normalized LMS algorithms. The algorithm proposed in this paper not only overcomes the discrepancy between the signal’s error and step factor, but also makes the algorithm more flexible by introducing a new controllable variable.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ying Ma, Zhijun Zhang, and Yang Xu "An improved S-function LMS algorithm ", Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97941B (3 December 2015); https://doi.org/10.1117/12.2205730
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