摘要
小波去噪在信号处理中得到广泛应用,目前常用的方法主要有FIR低通滤波器、硬阈值软阈值去噪等,但是上述方法对于提取到的动态颈静脉信号去噪并不理想.针对这一现象,本文提出基于Py和Pgama投影的小波变换模极大值算法对采用近红外光谱技术获取到的颈静脉信号去噪.相比于硬阈值和软阈值去噪,该方法既可以去除高频噪声,又能很好的还原颈静脉信号规律,本文通过仿真实验验证了所提方法的准确性与优越性,表明该方法对动态颈静脉信号去噪具有实际应用价值.
Wavelet denoising is widely used in signal processing.At present,the commonly used methods mainly include FIR low-pass filter,hard threshold,soft threshold denoising and so on,but these methods are not ideal for the denoising of the extracted dynamic jugular vein signal.In view of this phenomenon,this paper proposes a wavelet transform modulus maxima algorithm based on py and pgama projection to denoise the jugular vein signal obtained by near-infrared spectroscopy.Compared with hard threshold and soft threshold denoising,it can not only remove the high-frequency noise,but also reflect the law of jugular vein signal.The accuracy and superiority of the proposed method are verified by simulation.And applied to clinical medicine,has practical application value.
作者
那雨庭
董雨荷
刘永伟
郑一博
张磊
NA Yu-ting;DONG Yu-he;LIU Yong-wei;ZHENG Yi-bo;ZHANG Lei(Hebei GEO University,Geo-detection Technology,Hebei Shijiazhuang 050031,China)
出处
《新一代信息技术》
2022年第2期53-56,共4页
New Generation of Information Technology
基金
石家庄市高价值专利组合培育项目(项目编号:202002)
石家庄市重点研发项目(项目编号:211130391A)
关键词
小波变换模极大值
近红外光谱
硬阈值
软阈值
MATLAB仿真
wavelet transform modulus maxima
near infrared spectroscopy
hard threshold
soft threshold
Matlab simulation
