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介绍了小波变换的基本理论并对小波变换的常用算法和应用进行了评述。由于小波变换的时 -频局部化性质 ,使其成为信号处理的强有力工具。在分析化学领域中 ,小波变换在流动注射分析、伏安分析、高效液相色谱、红外光谱、质谱、核磁共振谱、可见 -紫外光谱、光声光谱、扩展 X-射线吸收精细结构 ( EXAFS)谱等分析化学信号的平滑滤噪、数据压缩、重叠信号解析等方面都有成功的应用。
The basic theory of wavelet transform is introduced and the commonly used algorithms and applications of wavelet transform are reviewed. Due to the time-frequency localization of wavelet transform, it becomes a powerful tool for signal processing. In the field of analytical chemistry, wavelet transform has been used in many fields such as flow injection analysis, voltammetric analysis, high performance liquid chromatography, infrared spectroscopy, mass spectrometry, nuclear magnetic resonance spectroscopy, visible-ultraviolet spectroscopy, photoacoustic spectroscopy, extended X-ray absorption fine structure (EXAFS) Spectral analysis of chemical signal smoothing noise reduction, data compression, overlapping signal analysis and other aspects have been successfully applied.