A New Subband Weight Transform for Delayless Subband Adaptive Filtering Structures

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Lars-Olof Larson, Jan Mark de Haan, Ingvar Claesson
Title: A New Subband Weight Transform for Delayless Subband Adaptive Filtering Structures
Translated title: A New Subband Weight Transform for Delayless Subband Adaptive Filtering Structures
Conference name: 10th IEEE Signal Processing Society Digital Signal Processing - DSP2002
Year: 2002
Pagination: 201-6
ISBN: 0-7803-8116-5
Publisher: IEEE
City: Pine Mountain, GA, USA
ISI number: 000185284600040
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: lars-olof.larson@bth.se
Language: English
Abstract: In applications like echo cancellation and speech enhancement, where there is need to track changes continuously, adaptive filtering is usually used. Long adaptive filters gives problems like slow convergence and high complexity. Subband adaptive filtering has been introduced to overcome these problems. The filter banks used in subband adaptive filtering introduce large delays. In order to compensate for the delays, delayless subband adaptive filtering is introduced. Delayless subband adaptive filtering is used in both open loop and closed loop configuration, where the subband filters are transformed to a fullband filter using a weight transform. This paper proposes a new subband weight transform based on the filter banks that are used. We investigate the performance of the weight transform using Monte Carlo simulations of a system identification situation. Different adaptive algorithms are used to compare the weight transform to previously proposed weight transforms.
Subject: Signal Processing\Speech Enhancement
Keywords: adaptive filters, closed loop systems, discrete Fourier transforms, echo suppression, filtering theory, identification, Monte Carlo methods, open loop systems, speech enhancement
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