摘要
本研究主要包括小波变换和小波包对光谱信号进行消噪的处理算法和实现过程,利用Matlab小波工具箱及自编程序对两种消噪方法在果汁可见吸收光谱中消噪后的使用情况和效果进行实验与分析.通过本研究表明,研究小波分析在光谱信号消噪中的应用具有现实意义并切实可行。
The basic theory and algorithm of wavelet and wavelet packet were introduced. Methods for eliminating noise signal in visible adsorption spectra of fruit juice sample using wavelet and wavelet packet were investigated. The experimental results of two ways were analysed and estimated by one demensional function in Maltal 6.0 wavelet toolbox and our programming. The results were satisfied that the wavelet and wavelet packet analysis have advantage in denoise signal process of spectra and can be used well in the fruit juice quality measurement.
出处
《传感技术学报》
EI
CAS
CSCD
北大核心
2006年第3期821-823,共3页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金(60468002
30560064)
江西省科技厅项目(1246)联合资助
关键词
信号处理
小波分析
小波包
噪声消除
MATLAB
sensing technique
farming vehicle
comprehensive performance
automatically test
