2005Unpublished venueRequires access

A recursive maximum likelihood algorithms for ARMA line enhancement

B. Friedlander

Open publisher page 7 citations

Abstract

Optimal filtering of narrowband signals corrupted by noise requires an infinite impulse response (IIR) filter. A recursive maximum likelihood algorithm is proposed for adaptively adjusting the coefficients of an IIR line enhancer. The performance of this adaptive IIR filter is analyzed and its advantages compared to finite impulse filters are discussed.

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What this paper is about

Optimal filtering of narrowband signals corrupted by noise requires an infinite impulse response (IIR) filter. A recursive maximum likelihood algorithm is proposed for adaptively adjusting the coefficients of an IIR line enhancer. The performance of this adaptive IIR filter is analyzed and its advantages compared to finite impulse filters are discussed.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Optimal filtering of narrowband signals corrupted by noise requires an infinite impulse response (IIR) filter. A recursive maximum likelihood algorithm is proposed for adaptively adjusting the coefficients of an IIR line enhancer. The performance of this adaptive IIR filter is analyzed and its advantages compared to finite impulse filters are discussed.

Key concepts: Infinite impulse response, 2D Filters, Finite impulse response, Adaptive filter, Narrowband, Algorithm, Computer science, Filter (signal processing)

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