摘要
小波变换可以去除噪声信号,遗传算法具有全局搜索能力,可以任意逼近分析信号.本文将小波变换和遗传算法相结合来处理分析化学中的重叠信号,通过对模拟信号和实验信号的处理,结果显示小波变换和遗传算法能将重叠信号去噪、分离,可用于多组分样品信号重叠的分离研究.
Wavelet transformation can remove the noise signal,and the genetic algorithm has global search ability which can arbitrarily close analysis signals. In the paper the combination of wavelet transformation and genetic algorithm treat the overlapping spectrum in analytical chemistry. Analog signal and experimental signal were processed. The results show that,the overlapped signals can be denoised and separated by wavelet transformation and genetic algorithm,which can be used for the separation of multi -component signal overlap.
出处
《重庆文理学院学报（社会科学版）》
2014年第5期104-106,111,共4页
Journal of Chongqing University of Arts and Sciences（Social Sciences Edition)
基金
聊城大学大学生创新基金(SF2013082)
关键词
小波变换
遗传算法
重叠信号
wavelet transformation
genetic algorithms
overlapping signals
