eprintid: 801
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/08/01
datestamp: 2023-11-09 15:48:56
lastmod: 2023-11-09 15:48:56
status_changed: 2023-11-09 15:23:12
type: article
metadata_visibility: show
creators_name: Karim, S.A.A.
creators_name: Ismail, M.T.
title: Compression of chemical signal using wavelet transform
ispublished: pub
note: cited By 3
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.
date: 2009
publisher: EuroJournals, Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350576286&partnerID=40&md5=3b4bbfdedef7460605435f81b94253f8
full_text_status: none
publication: European Journal of Scientific Research
volume: 36
number: 4
pagerange: 513-520
refereed: TRUE
issn: 1450216X
citation:   Karim, S.A.A. and Ismail, M.T.  (2009) Compression of chemical signal using wavelet transform.  European Journal of Scientific Research, 36 (4).  pp. 513-520.  ISSN 1450216X