CAJ | 학술논문

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。
소파변환가이거제조성신호，유전산법구유전국수색능력，가이임의핍근분석신호。본문장소파변환화유전산법상결합래처리분석화학중적중첩신호，통과대모의신호화실험신호적처리，결과현시소파변환화유전산법능장중첩신호거조、분리，가용우다조분양품신호중첩적분리연구。
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.