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# lmso_algorithm
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<p align="justify">
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The least-mean-square (LMS) and the normalized least-mean-square (NLMS) algorithms require a trade-off between fast convergence
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and low misadjustment, obtained by choosing the control parameters. In general, time variable parameters are proposed
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according to different rules. Many studies on the optimization of the NLMS algorithm imply time variable control parameters
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[2] G. Enzner, H. Buchner, A. Favrot, and F. Kuech, “Acoustic echo control,” in Academic Press Library in Signal Processing,
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vol. 4, ch. 30, pp. 807–877, Academic Press 2014.
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</p>
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