Abstract
In LMS algorithm of adaptive filter design, how to determine the learning step is an unpleasant problem. In this paper an application of Immune Algorithm (IA) to LMS Adaptive notch filter design is presented. The steps of the IA's realization and the experimental data are shown with an example. The result of the experiment has shown that the IA can find the optimal learning step of the LMS adaptive notch filter and the convergent speed of algorithm is fast. © Springer-Verlag 2004.
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CITATION STYLE
Chen, X., & Gao, J. (2004). LMS adaptive notch filter design based on immune algorithm. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3173, 311–316. https://doi.org/10.1007/978-3-540-28647-9_53
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