An Adaptive Filtering Algorithm using Mean Field Annealing Techniques

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Per Persson, Sven Nordebo, Ingvar Claesson
Title: An Adaptive Filtering Algorithm using Mean Field Annealing Techniques
Conference name: IEEE Workshop on Signal Processing Systems
Year: 2002
Pagination: 115 -120
ISBN: 0 7803 7587 4
Publisher: IEEE
City: San Diego
ISI number: 000179203300020
Organization: Blekinge Institute of Technology
Department: Department of Telecommunications and Signal Processing (Institutionen för telekommunikation och signalbehandling)
Department of Telecommunications and Signal Processing S-372 25 Ronneby
+46 455 38 50 00
Authors e-mail: per.persson@bth.se
Language: English
Abstract: We present a new approach to discrete adaptive filtering based on the mean field annealing algorithm.
The main idea is to find the discrete filter vector that minimizes the matrix form of the Wiener-Hopf equations in a least-squares sense by a generalized mean field annealing algorithm. It is indicated by simulations that this approach, with complexity O(M^2) where M is the filter length, finds a solution comparable to the one obtained by the recursive least squares (RLS) algorithm but without the transient behavior of the RLS algorithm.

Further advantages of the proposed algorithm over other methods such as the recursive least-squares algorithm are that the filter coefficients are always limited and that it facilitates fast recovery after an abrupt system change.
Subject: Signal Processing\Filter Design
Signal Processing\Active Noise and Vibration Control
Keywords: adaptive filters, filtering theory, integral equations, least squares approximations
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