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Algorithm for Convergence Criteria Simulation on LMS Adaptive Filters

Andres Frias-Velazquez, Rene de Jesus Romero-Troncoso

A standard algorithm for LMS-filter simulation, tested with several convergence criteria under system identification configuration is presented in this paper. Establishing a reliable convergence criterion is mandatory in order to properly design an LMS filter and so avoid instability problems that may arise if both quantization effects and interdependency relationship among learning curve behaviors are not taken into account. Simulations performed under Matlab show remarkable differences between convergence criteria proposed by several authors and one presented in a previous work derived from a complete learning curve analysis.
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June 24, 2020
May 29, 2020

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