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Proceedings Paper

Adaptive LMS FFT-ordered L-filters
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Paper 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.

Paper Details

Date Published: 4 April 1997
PDF: 12 pages
Proc. SPIE 3026, Nonlinear Image Processing VIII, (4 April 1997); doi: 10.1117/12.271140
Show Author Affiliations
Karen O. Egiazarian, Tampere Univ. of Technology (Finland)
Jaakko T. Astola, Tampere Univ. of Technology (Finland)
Samvel M. Atourian, Tampere Univ. of Technology (Finland)
David Zaven Gevorkian, Tampere Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 3026:
Nonlinear Image Processing VIII
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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