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Title: Adaptive partial update channel shortening in impulsive noise environments
Authors: Grira, Mahmud
Chambers, Jonathon
Issue Date: 2007
Publisher: © IEEE
Citation: GRIRA, M. and CHAMBERS, J., 2007. Adaptive partial update channel shortening in impulsive noise environments. IN: 15th International Conference on Digital Signal Processing, Cardiff, 1-4 July, pp.555-558.
Abstract: Partial updating is an effective method for reducing computational complexity in adaptive filter implementations. In this paper adaptive partial update channel shortening algorithms in impulsive noise environments are proposed. These algorithms are based on updating a portion of the coefficients at each time sample instead of the entire set of coefficients. These algorithms have low computational complexity whilst retaining essentially identical performance to the sum-absolute autocorrelation minimization (SAAM) algorithm due to Nawaz and chambers. Simulation studies show the ability of the deterministic partial update SAAM (DPUSAAM) algorithm and the Random Partial Update SAAM (RPUSAAM)algorithm to achieve channel shortening and hence an acceptable level of bitrate within a multicarrier system.
Description: This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/ICDSP.2007.4288642
URI: https://dspace.lboro.ac.uk/2134/5634
ISBN: 1424408822
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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