Spectral Multicomponent Analysis Based on Wavelet Transform and Support Vector Machine
基于小波变换和支持向量机的光谱多组分分析

This paper took spectral signal according with Lambert-beer law as object, and introduced basic method of denoise with wavelet transform, and researched and established model of spectral multicomponent analysis based on support vector machine. Then computer simulation method gave an example to explain in the end, the example indicated that the method based on support vector machine can preferably solve the question of nonlinearity, small-sample in the spectral multicomponent analysis.