Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/90962
Title: FRM-based FIR filters with optimum finite word-length performance
Authors: Lim, Yong Ching
Yu, Ya Jun
Teo, Kok Lay
Saramäki, Tapio
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2007
Source: Lim, Y. C., Yu, Y. J., Teo, K. L., & Saramaki, T. (2007). FRM-based FIR filters with optimum finite word-length performance. IEEE Transactions on Signal Processing, 55(6), 2914-2924.
Series/Report no.: IEEE transactions on signal processing
Abstract: It is well known that filters designed using the frequency response masking (FRM) technique have very sparse coefficients. The number of nontrivial coefficients of a digital filter designed using the FRM technique is only a very small fraction of that of a minimax optimum design meeting the same set of specifications. A digital filter designed using FRM technique is a network of several subfilters. Several methods have been developed for optimizing the subfilters. The earliest method optimizes the subfilters separately and produces a network of subfilters with excellent finite word-length performance. Subsequent techniques optimize the subfilters jointly and produce filters with significantly smaller numbers of nontrivial coefficients. Unfortunately, these joint optimization techniques, that optimize only the overall frequency response characteristics, may produce filters with undesirable finite word-length properties. The design of FRM-based filters that simultaneously optimizes the frequency response and finite wordlength properties had not been reported in the literatures. In this paper, we develop several new optimization approaches that include the finite word-length properties of the overall filter into the optimization process. These new approaches produce filters with excellent finite word-length performance with almost no degradation in frequency response performance.
URI: https://hdl.handle.net/10356/90962
http://hdl.handle.net/10220/4662
ISSN: 1053-587X
DOI: http://dx.doi.org/10.1109/TSP.2007.893965
Rights: © 2007 IEEE. 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. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site.
metadata.item.grantfulltext: open
metadata.item.fulltext: With Fulltext
Appears in Collections:EEE Journal Articles

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