摘要
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。
Basic theories, algorithms and applications of wavelet transform (WT) were described in this paper. The main characteristic of the WT is the dual localization property in both time domain and frequency domain, which enables WT to be a high performance signal processing technique. WT has been applied to denoising, data compression, and resolution of overlapping signals in analytical chemistry that includes flow injection analysis (FIA), voltammetric analysis, high performance liquid chromatography (HPLC), infrared (IR) spectroscopy, mass spectroscopy (MS), nuclear magnetic resonance (NMR) spectroscopy, ultraviolet visible (UV Vis) spectroscopy, photoacoustic spectroscopy (PAS), extended X ray absorption fine structure (EXAFS) spectrum, etc.
出处
《化学进展》
SCIE
CAS
CSCD
2000年第3期233-244,共12页
Progress in Chemistry
关键词
小波变换
信号处理
平滑滤噪
数据压缩
分析化学
wavelet transform
signal processing
smoothing and denoising
data compression
resolution of overlapping signal
