摘要
A new method which is caIled orthogonal wavelet transform was introduced into deconvolution voltammetry to deal with discrete data containing strong random noise. From simulated data and experimental data, the processed results show that wavelet trans form would be the best method in processing complex discrete signal containing high white noise,and was compared with Fourier least square method. Wavelet transform has many merits than Fourier method.
A new method which is caIled orthogonal wavelet transform was introduced into deconvolution voltammetry to deal with discrete data containing strong random noise. From simulated data and experimental data, the processed results show that wavelet trans form would be the best method in processing complex discrete signal containing high white noise,and was compared with Fourier least square method. Wavelet transform has many merits than Fourier method.
出处
《高等学校化学学报》
SCIE
EI
CAS
CSCD
北大核心
1997年第1期49-51,共3页
Chemical Journal of Chinese Universities
基金
国家自然科学基金
广东省自然科学基金
关键词
正交小波变换
去卷积伏安法
数据平滑
Orthogonal wavelet transform, Deconvolution voltammetry, Data processing
