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Subband adaptive filtering: Oversampling approach

Sridharan, MK (1998) Subband adaptive filtering: Oversampling approach. In: Signal Processing, 71 (1). pp. 101-104.

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Fast FIR filtering technique is generalized to propose a new oversampled subband filtering structure. Complexity reduction of the order of (M/2) is achieved in filtering by restricting non-adjacent filters of PRFB non-overlapping. The channel filters of the proposed structure are shown to be related to the modelling system through the PRFB filters. The subband adaptive filtering algorithm is developed by making channel filters adaptive. An adaptive algorithm of NLMS type is derived for main channel filters by minimizing the mean-squared-error (MSE) criterion. The cross filters are derived from the main channel filters. Simulations reveal the modelling capability and convergence properties of the proposed algorithm.

Item Type: Journal Article
Publication: Signal Processing
Publisher: Elsevier
Additional Information: Copyright of this article belongs to Elsevier.
Keywords: Subband adaptive filtering;Fast filtering;Convergence rate;Complexity
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 18 Jan 2007
Last Modified: 19 Sep 2010 04:34
URI: http://eprints.iisc.ac.in/id/eprint/9534

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