摘要
脉搏信号具有非线性非平稳的特性,在采集时易受外界噪声的干扰,会严重影响后续的结果分析,故提出了一种基于共生生物搜索算法改进的匹配追踪算法,用于对脉搏信号进行去噪的分析。首先借助共生生物搜索算法对匹配追踪的内积计算进行优化,然后再将其用于脉搏信号的稀疏去噪,并在算法的执行时间上与其它匹配追踪算法进行了比较。结果分析表明改进后的匹配追踪算法不仅有效地去除了脉搏信号中包含的噪声,而且保证了算法的执行效率。
The pulse signal has the characteristics of non-linear and non-stationary,and it is easy to be interfered by external noise during acquisition.Therefore,an improved matching pursuit algorithm based on symbiotic organisms search algorithm is proposed to de-noise the pulse signal.First,the inner product of matching pursuit is optimized by symbiotic organisms search algorithm,Then,it is used for sparse denoising of pulse signal and its execution speed is compared with the other matching pursuit algorithm.The results show that the improved matching pursuit algorithm not only effectively removes the noise contained in the pulse signal,but also the efficiency of algorithm is ensured.
作者
王利
WANG Li(Department of Electronic and Electrical Engineering,Baoji University of Arts and Sciences,Baoji 721013,China)
出处
《电子设计工程》
2020年第15期6-10,共5页
Electronic Design Engineering
基金
国家自然科学基金项目(61906102)
陕西省教育厅专项科学研究项目(19JK0038)
宝鸡市科技计划项目(2018JH-25)。
关键词
匹配追踪
共生生物搜索算法
去噪
脉搏信号
matching pursuit
symbiotic organisms search algorithm
de-noising
pulse signal
