A recursive maximum likelihood algorithms for ARMA line enhancement
B. Friedlander
Abstract
B. Friedlander
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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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)