Adaptive LMS FFT-ordered L-filters

Karen O. Egiazarian; Jaakko T. Astola; Samvel M. Atourian; David Zaven Gevorkian

doi:10.1117/12.271140

4 April 1997 Adaptive LMS FFT-ordered L-filters

Karen O. Egiazarian, Jaakko T. Astola, Samvel M. Atourian, David Zaven Gevorkian

Proceedings Volume 3026, Nonlinear Image Processing VIII; (1997) https://doi.org/10.1117/12.271140
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

An FFT-ordered L-filter (FFT-LF) has been previously proposed as an alternative to the L-filter. FFT-LF filter is defined as a linear combination of 'FFT-ordered' inputs which can be considered as outputs of a bank of stack filters formed according to an FFT-like flowchart. It has been shown that FFT-LF's efficiently remove mixed noise. They possess good characteristics of performance and are simple in implementation. The idea of this paper is based on using FFT-LF in adaptive LMS filtering framework. This allows to incorporate advantages of both transform-domain adaptive LMS (TD-LMS) filters and adaptive L-filters into a unified design. We propose a new adaptive filter structure, called adaptive FFT-LF filter which consists of two stages: preprocessing and the LMS algorithm. Many different adaptive filters, in particular, TD-LMS, adaptive L-filters can be realized based on the proposed structure. The range of these filters is efficiently implemented on a unified device.

Citation Download Citation

Karen O. Egiazarian, Jaakko T. Astola, Samvel M. Atourian, and David Zaven Gevorkian "Adaptive LMS FFT-ordered L-filters", Proc. SPIE 3026, Nonlinear Image Processing VIII, (4 April 1997); https://doi.org/10.1117/12.271140

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