Adaptive Filters with Codified Error LMS Algorithm
Jose Velazquez-Lopez, Juan C. Sánchez, Hector Perez‐Meana
Abstract
Jose Velazquez-Lopez, Juan C. Sánchez, Hector Perez‐Meana
Abstract
In this paper a modification of the Least Mean Square (LMS) adaptive algorithm is presented based on a modification of the codification of the error signal. This modification allows having an algorithm easier to implement in a digital adaptive filter, besides that a greater convergence speed is obtained. A comparison of the proposed modification with the conventional LMS algorithm and some of its known variants is provided to show the advantages of proposed algorithm.
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In this paper a modification of the Least Mean Square (LMS) adaptive algorithm is presented based on a modification of the codification of the error signal. This modification allows having an algorithm easier to implement in a digital adaptive filter, besides that a greater convergence speed is obtained. A comparison of the proposed modification with the conventional LMS algorithm and some of its known variants is provided to show the advantages of proposed algorithm.
Key concepts: Least mean squares filter, Adaptive filter, Convergence (economics), Algorithm, Computer science, Adaptive algorithm, Multidelay block frequency domain adaptive filter, Digital filter