1976Proceedings of the IEEERequires access

An adaptive recursive LMS filter

P. Feintuch

Open publisher page 302 citations

Abstract

An adaptive, recursive, least mean-square-digital filter is heuristically derived that has the computational simplicity of existing transversal adaptive filters, with the additional capability of producing poles in the filter transfer function. Simulation results are presented to demonstrate its capability.

About this research paper

What this paper is about

An adaptive, recursive, least mean-square-digital filter is heuristically derived that has the computational simplicity of existing transversal adaptive filters, with the additional capability of producing poles in the filter transfer function. Simulation results are presented to demonstrate its capability.

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OpenAlex reports 302 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

An adaptive, recursive, least mean-square-digital filter is heuristically derived that has the computational simplicity of existing transversal adaptive filters, with the additional capability of producing poles in the filter transfer function. Simulation results are presented to demonstrate its capability.

Key concepts: Adaptive filter, Kernel adaptive filter, Filter (signal processing), Transfer function, Recursive filter, Least mean squares filter, Control theory (sociology), Transversal (combinatorics)

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