高速模拟信号压缩采样实现  

Implementation for High Speed Analog Signal Compressive Sampling

作　　者：赵贻玖[1] 王厚军[1] 戴志坚[1] 

机构地区：[1]电子科技大学自动化工程学院,成都611731

出　　处：《电子科技大学学报》2012年第4期537-540,共4页Journal of University of Electronic Science and Technology of China

基　　金：国家自然科学基金(60827001)

摘　　要：压缩传感理论能够有效地降低信号的采样频率,实现对稀疏信号的压缩采样。该文在信号延时多通道采样技术的基础上,提出了一种基于压缩传感理论的模拟信号采样实现方法,根据该采样模型构造了压缩传感测量矩阵。该采样模型能够以低于信号Nyquist频率的采样率对频域稀疏信号进行采样,通过最优化算法准确重构原始信号。仿真结果表明,基于压缩传感理论的模拟信号采样模型能够对频域稀疏信号进行压缩采样,该方法具有可行性。Inspired by the multiple signal delay channel sampling technique, we propose an analog signal sampling model based on compressed sensing, and construct the measurement matrix in the context of the sampling architecture. The proposed sampling model can reconstruct the signal from a small number of samples captured at the sub-Nyquist rate. The examples of experiments are given to evaluate the performance of the proposed model.

关 键 词：压缩传感 测量矩阵 信号重构 稀疏表示 

分 类 号：TN911.7[电子电信—通信与信息系统]