4 April 1997 Adaptive LMS FFT-ordered L-filters
Author Affiliations +
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karen O. Egiazarian, Karen O. Egiazarian, Jaakko T. Astola, Jaakko T. Astola, Samvel M. Atourian, Samvel M. Atourian, David Zaven Gevorkian, David Zaven Gevorkian, } "Adaptive LMS FFT-ordered L-filters", Proc. SPIE 3026, Nonlinear Image Processing VIII, (4 April 1997); doi: 10.1117/12.271140; https://doi.org/10.1117/12.271140


Filtering time series with topology
Proceedings of SPIE (October 27 1994)
Optimal range-domain window filters
Proceedings of SPIE (March 04 1999)
Learning type of median and mean hybrid filters and a...
Proceedings of SPIE (April 05 1998)

Back to Top