改进的小波收缩技术在近红外光谱信号消噪中的应用及软件设计

Improved wavelet shrinkage method on application of NIR spectrum denoising threshold and software design

提出了基于小波变换的近红外光谱信号消噪处理方法,采用一种基于非线性阈值决策的小波去噪法, 通过对具体数据的处理,表明该法可以有效地去除近红外光谱信号中的噪音,为准确的进行近红外光谱的分析创造了条件。同时,为实现小波消噪技术,进行了软件设计,采用VB、MATLAB等软件混合编程,使得程序简单、界面友好。

An improved wavelet shrinkage technique on NIR in which the shrinkage was not processed in the domain of wavelet transform but processed in the domain of modulus of wavelet transform was introduced in this paper. The feasibility and practicability of the presented method on NIR denoising is verified with some experimental results. At the same time, in order to accomplish the wavelet denoising, software design is adopted, using the VB and MATLAB, etc.