2006Telecommunications and Radio EngineeringRequires access

Adaptive Filters with Codified Error LMS Algorithm

Jose Velazquez-Lopez, Juan C. Sánchez, Hector Perez‐Meana

Open publisher page 10 citations

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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What this paper is about

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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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Least mean squares filter, Adaptive filter, Convergence (economics), Algorithm, Computer science, Adaptive algorithm, Multidelay block frequency domain adaptive filter, Digital filter

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