title: [Studies on data compression of 1-D NMR spectra using wavelet transform].
abstract: The multiresolution signal decomposition (MRSD) algorithm based on wavelet transform was applied to the compression of 1-D NMR spectra. A NMR spectrum which was composed of 32768 data points was investigated and the spectrum can be completely reconstructed with the residual square deviation (RSD) being as small as 2.7769 x 10(-4) when the spectrum was compressed to 512 data points. The relationship among the RSD and the different wavelet function, number of decomposiion and the compression ratio was also discussed.
authors.affiliation: Department of Chemistry, University of Science and Technology of China, 230026 Hefei.
authors.forename: X
authors.initials: X
authors.lastname: Shao
authors.forename: H
authors.initials: H
authors.lastname: Gu
authors.forename: W
authors.initials: W
authors.lastname: Cai
authors.forename: Z
authors.initials: Z
authors.lastname: Pan