Compression of chemical signal using wavelet transform

Wavelet Transform (WT) had became a popular topic in chemistry and other fields of science starting from late 1980s, when compactly supported orthonormal wavelets and fast calculation algorithms were proposed by Mallat (1989) and Daubechies (1988) respectively. Meanwhile, Fourier transform (FT) play...

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Main Authors: S.A.A., Karim, M.T., Ismail
Format: Citation Index Journal
Language:English
Published: 2009
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/244/
http://scholars.utp.edu.my/id/eprint/244/1/paper.pdf
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author S.A.A., Karim
M.T., Ismail
author_facet S.A.A., Karim
M.T., Ismail
author_sort S.A.A., Karim
building UTP Institutional Repository
collection Online Access
description Wavelet Transform (WT) had became a popular topic in chemistry and other fields of science starting from late 1980s, when compactly supported orthonormal wavelets and fast calculation algorithms were proposed by Mallat (1989) and Daubechies (1988) respectively. Meanwhile, Fourier transform (FT) plays a very important role in analytical methods in chemistry through Nuclear Magnetic Resonance (NMR) spectroscopy and Infrared (IR) spectroscopy (Felinger, 1998). FT localized only in the frequency (or scale) domain but not in time (or position) domain, while WT is well localized in both. Furthermore, compared with FT, a large number of basis functions are available with WT, i.e., Haar, Daubechies, Coiflet, Spline, etc. In this paper, we will discuss the application of Fast Wavelet Transform (FWT) for data compression in chemistry. Some numerical results will be presented by using Matlab programming. © EuroJournals Publishing, Inc. 2009.
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spelling oai:scholars.utp.edu.my:2442017-01-19T08:25:55Z http://scholars.utp.edu.my/id/eprint/244/ Compression of chemical signal using wavelet transform S.A.A., Karim M.T., Ismail QA75 Electronic computers. Computer science Wavelet Transform (WT) had became a popular topic in chemistry and other fields of science starting from late 1980s, when compactly supported orthonormal wavelets and fast calculation algorithms were proposed by Mallat (1989) and Daubechies (1988) respectively. Meanwhile, Fourier transform (FT) plays a very important role in analytical methods in chemistry through Nuclear Magnetic Resonance (NMR) spectroscopy and Infrared (IR) spectroscopy (Felinger, 1998). FT localized only in the frequency (or scale) domain but not in time (or position) domain, while WT is well localized in both. Furthermore, compared with FT, a large number of basis functions are available with WT, i.e., Haar, Daubechies, Coiflet, Spline, etc. In this paper, we will discuss the application of Fast Wavelet Transform (FWT) for data compression in chemistry. Some numerical results will be presented by using Matlab programming. © EuroJournals Publishing, Inc. 2009. 2009 Citation Index Journal PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/244/1/paper.pdf S.A.A., Karim and M.T., Ismail (2009) Compression of chemical signal using wavelet transform. [Citation Index Journal] http://www.scopus.com/inward/record.url?eid=2-s2.0-70350576286&partnerID=40&md5=3b4bbfdedef7460605435f81b94253f8
spellingShingle QA75 Electronic computers. Computer science
S.A.A., Karim
M.T., Ismail
Compression of chemical signal using wavelet transform
title Compression of chemical signal using wavelet transform
title_full Compression of chemical signal using wavelet transform
title_fullStr Compression of chemical signal using wavelet transform
title_full_unstemmed Compression of chemical signal using wavelet transform
title_short Compression of chemical signal using wavelet transform
title_sort compression of chemical signal using wavelet transform
topic QA75 Electronic computers. Computer science
url http://scholars.utp.edu.my/id/eprint/244/
http://scholars.utp.edu.my/id/eprint/244/
http://scholars.utp.edu.my/id/eprint/244/1/paper.pdf