Conjugate symmetric sequency-ordered complex Hadamard transform

A new transform known as conjugate symmetric sequency-ordered complex Hadamard transform (CS-SCHT) is presented in this paper. The transform matrix of this transform possesses sequency ordering and the spectrum obtained by the CS-SCHT is conjugate symmetric. Some of its important properties are disc...

Full description

Saved in:
Bibliographic Details
Main Authors: Aung, Aye, Ng, Boon Poh, Rahardja, Susanto
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2011
Subjects:
Online Access:https://hdl.handle.net/10356/93914
http://hdl.handle.net/10220/7088
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-93914
record_format dspace
spelling sg-ntu-dr.10356-939142020-03-07T14:02:37Z Conjugate symmetric sequency-ordered complex Hadamard transform Aung, Aye Ng, Boon Poh Rahardja, Susanto School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing A new transform known as conjugate symmetric sequency-ordered complex Hadamard transform (CS-SCHT) is presented in this paper. The transform matrix of this transform possesses sequency ordering and the spectrum obtained by the CS-SCHT is conjugate symmetric. Some of its important properties are discussed and analyzed. Sequency defined in the CS-SCHT is interpreted as compared to frequency in the discrete Fourier transform. The exponential form of the CS-SCHT is derived, and the proof of the dyadic shift invariant property of the CS-SCHT is also given. The fast and efficient algorithm to compute the CS-SCHT is developed using the sparse matrix factorization method and its computational load is examined as compared to that of the SCHT. The applications of the CS-SCHT in spectrum estimation and image compression are discussed. The simulation results reveal that the CS-SCHT is promising to be employed in such applications. Accepted version 2011-09-21T04:15:57Z 2019-12-06T18:47:39Z 2011-09-21T04:15:57Z 2019-12-06T18:47:39Z 2009 2009 Journal Article Aung, A., Ng, B. P., & Rahardja, S. (2009). Conjugate Symmetric Sequency-Ordered Complex Hadamard Transform. IEEE Transactions on Signal Processing, 57(7), 2582-2593. 1053-587X https://hdl.handle.net/10356/93914 http://hdl.handle.net/10220/7088 10.1109/TSP.2009.2017572 155440 en IEEE transactions on signal processing © 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [DOI: http://dx.doi.org/10.1109/TSP.2009.2017572]. 12 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Aung, Aye
Ng, Boon Poh
Rahardja, Susanto
Conjugate symmetric sequency-ordered complex Hadamard transform
description A new transform known as conjugate symmetric sequency-ordered complex Hadamard transform (CS-SCHT) is presented in this paper. The transform matrix of this transform possesses sequency ordering and the spectrum obtained by the CS-SCHT is conjugate symmetric. Some of its important properties are discussed and analyzed. Sequency defined in the CS-SCHT is interpreted as compared to frequency in the discrete Fourier transform. The exponential form of the CS-SCHT is derived, and the proof of the dyadic shift invariant property of the CS-SCHT is also given. The fast and efficient algorithm to compute the CS-SCHT is developed using the sparse matrix factorization method and its computational load is examined as compared to that of the SCHT. The applications of the CS-SCHT in spectrum estimation and image compression are discussed. The simulation results reveal that the CS-SCHT is promising to be employed in such applications.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Aung, Aye
Ng, Boon Poh
Rahardja, Susanto
format Article
author Aung, Aye
Ng, Boon Poh
Rahardja, Susanto
author_sort Aung, Aye
title Conjugate symmetric sequency-ordered complex Hadamard transform
title_short Conjugate symmetric sequency-ordered complex Hadamard transform
title_full Conjugate symmetric sequency-ordered complex Hadamard transform
title_fullStr Conjugate symmetric sequency-ordered complex Hadamard transform
title_full_unstemmed Conjugate symmetric sequency-ordered complex Hadamard transform
title_sort conjugate symmetric sequency-ordered complex hadamard transform
publishDate 2011
url https://hdl.handle.net/10356/93914
http://hdl.handle.net/10220/7088
_version_ 1681034831248490496