Application of compressive sampling theory in analog signal sampling

摘要：

　　The traditional signal acquisition and processing follow the Shannon sampling theory.However,with the increase of signals bandwidth,it makes a great challenge to the hardware implementation of sampling system.Compressive sampling(CS)theory,as a new information processing method,it could break through the limitation of Shannon sampling for sparse signal acquisition and processing.CS can improve the traditional non-uniform sampling technique.And the sampling model based on the random demodulation technique is a successful application of CS in analog signal sampling.From a small number of samples captured by the random demodulation based sampling model,the original signal can be reconstructed with overwhelming probability.The model can not only reduce the analog-to-digital converter(ADC)operating frequency,but also breakthrough the limitation of input bandwidth of the ADC.

关键词： compressive sampling non uniform sampling sparse representation signal reconstruction

作者: Wang Li Tian Shulin Zhao Yijiu

作者单位: University of Electronic Science and Technology of China,Chengdu 611731 China

会议类型: 国际会议

会议名称: The Fifth International Symposium on Test Automation & Instrumentation(2014第五届国际测试自动化与仪器仪表学术会议)

会议地点: 北京

会议语种:英文

页码: 631-637

在线出版日期: 2014-09-23（万方平台首次上网日期，不代表论文的发表时间）