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Compression of chemical signal using wavelet transform

S.A.A., Karim and M.T., Ismail (2009) Compression of chemical signal using wavelet transform. [Citation Index Journal]

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Abstract

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.

Item Type:Citation Index Journal
Uncontrolled Keywords:Basis function; Data compression; Fourier transform; Thresholding; Wavelet transform
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Departments > Fundamental & Applied Sciences
ID Code:244
Deposited By: Samsul Ariffin Abdul Karim
Deposited On:01 Mar 2010 03:55
Last Modified:19 Jan 2017 08:25

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