2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2013
DOI: 10.1109/embc.2013.6610622
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A novel gradient adaptive step size LMS algorithm with dual adaptive filters

Abstract: Least mean square (LMS) adaptive filter has been used to extract life signals from serious ambient noises and interferences in biomedical applications. However, a LMS adaptive filter with a fixed step size always suffers from slow convergence rate or large signal distortion due to the diversity of the application environments. An ideal adaptive filtering system should be able to adapt different environments and obtain the useful signals with low distortion. Adaptive filter with gradient adaptive step size is t… Show more

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Cited by 7 publications
(4 citation statements)
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“…The program iteratively altered the length of the comparison stimulus to converge with the standard stimulus, contingent on the participants' choices. An enhanced variable step size least mean square adaptive algorithm (Jiao et al, 2013) was implemented to regulate the length adjustments. Each threshold data point entailed a minimum of 20 trials when the standard deviation of the most recent five trials fell below 0.7 times the minimum length step size (McKelvie, 1984;Plesch et al, 2019).…”
Section: Apparatus and Proceduresmentioning
confidence: 99%
“…The program iteratively altered the length of the comparison stimulus to converge with the standard stimulus, contingent on the participants' choices. An enhanced variable step size least mean square adaptive algorithm (Jiao et al, 2013) was implemented to regulate the length adjustments. Each threshold data point entailed a minimum of 20 trials when the standard deviation of the most recent five trials fell below 0.7 times the minimum length step size (McKelvie, 1984;Plesch et al, 2019).…”
Section: Apparatus and Proceduresmentioning
confidence: 99%
“…Adaptive filter [6] is widely used because it has the ability of well operation and tracking the variable input statistics in the unknown time-varying environment. Adaptive filtering is defined according to the changes in the environment, by using a kind of adaptive algorithm to change the filter parameters.…”
Section: Adaptive Filteringmentioning
confidence: 99%
“…where μ(n) is the step size of the LMS algorithm, which controls the convergence rate [8]. The update equation of Mathew's algorithm for step size μ(n) is shown in (5) [8].…”
mentioning
confidence: 99%
“…where ρ is a small positive constant which controls the adaptive behaviour of step size [8]. For updating the proposed method,…”
mentioning
confidence: 99%