基于多分辨率分析的光谱信号处理方法

Data Process Method Based on Multi-resolution Analysis for Spectral Signals

本文介绍了一种基于子波变换的光谱信号处理方法．论述了离散二进子波变换的快速算法．利用子波变换的多分辨率技术，达到信号滤波，数据压缩，去除低频扰动等目的．用本文方法，对野外实测光谱数据进行了识别检验．结果表明，该方法是十分有效的．

In this paper, we presented a data process method based on wavelet transform for spectral signal. The discrete wavelet transform are discussed. A fast wavelet algorithm for one-dimensional signals is described. Using the principle of multi-resolution analysis, we reach the aim of filtering signals, data compression and removing low-frequency disturbance. This method is tested using field measured spectral data. The result shows that this new method is very effective.