摘要
结合傅立叶变换 (FT)和主成份分析 (PCA)技术 ,实现了二维高效液相色谱数据的压缩和重构 ,并对不同信噪比的二维色谱测量数据进行了处理。即使对原始数据的压缩比高达 2 0 0倍 ,仍能很好地重构原始数据。当原始数据的信噪比较低时 ,阈值的选择受大振幅噪音的影响 ,使压缩比略有下降 ,但仍然能够保持信号基本不失真。
A data compression technique was proposed by combining the Fourier transform(FT) technique and principal component analysis (PCA) technique. The method was used to treat two-way chromatograms. The results showed that, enen with compression ratio of more than 200, the data could be reconstracted with out significant loss of useful signals by the method.
出处
《分析试验室》
CAS
CSCD
2000年第6期46-49,共4页
Chinese Journal of Analysis Laboratory
关键词
傅立叶变换-主成份分析方法
二维色谱数据
压缩
重构
Fourier transform
Principal component analysis
Two way chromatograms
Data compression
