Pulse Signal Recovery Method Based on Sparse Representation

作     者：Jiangmei Zhang Haibo Ji Qingping Zhu Hongsen He Kunpeng Wang 

作者机构：Department of AutomationUniversity of Science and Technology of China School of Information EngineeringSouthwest University of Science and Technology 

出 版 物：《Journal of Beijing Institute of Technology》 (北京理工大学学报（英文版）)

年 卷 期：2018年第27卷第2期

页      面：161-168页

核心收录：

学科分类：0810[工学-信息与通信工程] 0711[理学-系统科学] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0805[工学-材料科学与工程（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by the National Natural Science Foundation of China(61501385) Science and Technology Planning Project of Sichuan Province,China(2016JY0242,2016GZ0210) Foundation of Southwest University of Science and Technology(15kftk02,15kffk01) 

主　　题：signal recovery pulse signal sparse representation matching pursuit 

摘      要：Pulse signal recovery is to extract useful amplitude and time information from the pulse signal contaminated by noise. It is a great challenge to precisely recover the pulse signal in loud background noise. The conventional approaches,which are mostly based on the distribution of the pulse energy spectrum,do not well determine the locations and shapes of the pulses. In this paper,we propose a time domain method to reconstruct pulse signals. In the proposed approach,a sparse representation model is established to deal with the issue of the pulse signal recovery under noise conditions. The corresponding problem based on the sparse optimization model is solved by a matching pursuit algorithm. Simulations and experiments validate the effectiveness of the proposed approach on pulse signal recovery.