Structure of non-maximally decimated filter bank derived by MSFGs

Practical applications in digital communication need non-maximally decimated filter banks to provide oversampled baseband signals for other necessary operations. The non-maximally decimated filter banks allow the required prototype filter to have wider transitional band to significantly reduce the r...

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Main Authors: Wang, Luyun, Qi, Ronggang, Bi, Guoan
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/88373
http://hdl.handle.net/10220/45745
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-883732020-03-07T14:02:35Z Structure of non-maximally decimated filter bank derived by MSFGs Wang, Luyun Qi, Ronggang Bi, Guoan School of Electrical and Electronic Engineering Baseband Signals Filter Banks DRNTU::Engineering::Electrical and electronic engineering Practical applications in digital communication need non-maximally decimated filter banks to provide oversampled baseband signals for other necessary operations. The non-maximally decimated filter banks allow the required prototype filter to have wider transitional band to significantly reduce the required computational complexity. This Letter presents a non-maximally decimated filter bank structure derived by using multi-rate signal flow graphs. Published version 2018-08-29T08:21:51Z 2019-12-06T17:01:47Z 2018-08-29T08:21:51Z 2019-12-06T17:01:47Z 2017 Journal Article Wang, L., Qi, R., & Bi, G. (2017). Structure of non-maximally decimated filter bank derived by MSFGs. Electronics Letters, 53(16), 1106-1107. doi: 10.1049/el.2017.0744 0013-5194 https://hdl.handle.net/10356/88373 http://hdl.handle.net/10220/45745 10.1049/el.2017.0744 en Electronics Letters © 2017 Institution of Engineering and Technology (IET). This paper was published in Electronics Letters and is made available as an electronic reprint (preprint) with permission of Institution of Engineering and Technology (IET). The published version is available at: [http://dx.doi.org/10.1049/el.2017.0744]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 2 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Baseband Signals
Filter Banks
DRNTU::Engineering::Electrical and electronic engineering
spellingShingle Baseband Signals
Filter Banks
DRNTU::Engineering::Electrical and electronic engineering
Wang, Luyun
Qi, Ronggang
Bi, Guoan
Structure of non-maximally decimated filter bank derived by MSFGs
description Practical applications in digital communication need non-maximally decimated filter banks to provide oversampled baseband signals for other necessary operations. The non-maximally decimated filter banks allow the required prototype filter to have wider transitional band to significantly reduce the required computational complexity. This Letter presents a non-maximally decimated filter bank structure derived by using multi-rate signal flow graphs.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Wang, Luyun
Qi, Ronggang
Bi, Guoan
format Article
author Wang, Luyun
Qi, Ronggang
Bi, Guoan
author_sort Wang, Luyun
title Structure of non-maximally decimated filter bank derived by MSFGs
title_short Structure of non-maximally decimated filter bank derived by MSFGs
title_full Structure of non-maximally decimated filter bank derived by MSFGs
title_fullStr Structure of non-maximally decimated filter bank derived by MSFGs
title_full_unstemmed Structure of non-maximally decimated filter bank derived by MSFGs
title_sort structure of non-maximally decimated filter bank derived by msfgs
publishDate 2018
url https://hdl.handle.net/10356/88373
http://hdl.handle.net/10220/45745
_version_ 1681034709662957568