摘要
对小波理论和傅里叶变换去卷积数学方法在谱图分峰中的应用做了对比研究，对近于完全重叠的谱峰用傅里叶变换去卷积方法效果较好，而对于不完全重叠的谱峰用小波方法处理效果较好。小波方法计算速度快，较为客观，但小波方法对于完全重叠的谱峰处理则是困难的。
The wavelet transform and Fourier transform deconvelution (FTD)algorithms are compared in this paper. The FTD is a better algorithm,compared with the wavelet transform, in the case of resolving the spectra peaks which are completely overlapped. However, in the case of resolving the incomplete overlapping spectra peaks, the wavelet transform algorithm shows its superiorities in easy implementation and speed of calculation.
出处
《计算机与应用化学》
CAS
CSCD
1998年第3期153-157,共5页
Computers and Applied Chemistry
基金
国家自然科学基金
关键词
小波变换
傅里叶变换
分峰
重叠峰
谱图分峰
Wavelet transform, Fourier transform deconvolution, Resolution of spectra peaks
