摘要
介绍了小波变换及多分辨分析理论，并利用Ｄａｕｂｅｃｈｉｅｓ的正交紧支集小波基和Ｍａｌｌａｔ算法实现了对红外光谱数据的压缩和重建。计算表明，即使对原始数据压缩５倍，仍能很好地重建原有图谱，重建光谱数据与原始光谱数据之间的均方差为０．２６０，这为光谱数据的存储、检索和处理带来了方便。
An introduction of wavelet transform and multiresolution analysis is presented.The IR spectra of polyethylene are compressed and reconstructed successfully by Daubechies'compactly supported orthogonal wavelet bases and Mallat's algorithm.The IR spectra can be reconstructed satisfactorily even though the original data are compressed 5 times,and the mean variance is 0.260.This makes the storage,index and processing of IR spectra more conveninet.
出处
《高等学校化学学报》
SCIE
EI
CAS
CSCD
北大核心
1996年第10期1537-1540,共4页
Chemical Journal of Chinese Universities
基金
国家自然科学基金
关键词
小波变换
多分辨分析
红外光谱
数据压缩
Wavelet transform,Multiresolution analysis,IR spectra,Data compression
