小波变换方法的比较──红外光谱数据压缩

Comparison of Wavelet Transform Methods The Compression of IR Spectral Data

介绍了小波变换和多分辨分析的基本理论以及常用小波变换压缩数据的３种方法：（１）只保留模糊信号；（２）全部保留模糊信号及锐化信号中的较大值；（３）保留模糊信号及锐化信号中的较大值．将紧支集小波和正交三次Ｂ－样条小波压缩４－苯乙炔基－邻苯二甲酸酐的红外光谱数据进行了对比，计算表明正交三次Ｂ－样条小波变换方法效果较好，而在全部保留模糊信号及只保留锐化信号中数值较大的系数时。

In this paper, an introduction of wavelet transform and multi\|resolution analysis is presented. We describe three data compression methods based on wavelet transform for spectral information, and by using the multiresolution analysis, we compressed spectral data by Daubechiess compactly supported orthogonal wavelet and orthogonal cubic Bsplines wavelet.Using orthogonal cubic Bsplines wavelet and coefficients of sharpening signal are set to zero, only very few large coefficients are stored, and a favourable data compression can be achieved.