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- W1506732481 abstract "This chapter describes application of wavelet transform in processing chromatographic data. Chromatography is used widely in analytical chemistry for the separation of compounds in sample mixtures. By adopting different chemical and physical properties, various chromatographic techniques and instruments are developed for chemical analysis. Such techniques include paper chromatography, thin layer chromatography (TLC), gas chromatography (GC), and many more. There was a tendency to combine different analytical techniques or instruments with chromatography for separation and characterization. In chromatographic data analysis and signal processing, analytical chemists always face problems such as noise suppression, signal enhancement,peak detection, resolution enhancement, and multivariate signal resolution. Various chemometric methods are proposed for tackling these problems. Transformation techniques, such as the Fourier transform, Laplace transform, and Hartley transform are utilized in chromatography for data processing. Recently, the new mathematical technique wavelet transform (WT) is introduced to help solve various problems." @default.
- W1506732481 created "2016-06-24" @default.
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- W1506732481 date "2000-01-01" @default.
- W1506732481 modified "2023-09-27" @default.
- W1506732481 title "Application of Wavelet Transform in Processing Chromatographic Data" @default.
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- W1506732481 doi "https://doi.org/10.1016/s0922-3487(00)80034-9" @default.
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