基于ITCSAMP的周期非均匀采样与重构

Periodic Non-uniform Sampling and Reconstruction Based on ITCSAMP

根据周期非均匀采样的特点,结合联合子空间理论,将信号采样与重构转化为向量运算.并针对自然界中的稀疏信号,结合压缩传感理论,提出采用阈值迭代压缩采样匹配追踪(ITCSAMP)重构算法进行信号重构,并分析了其完整重构条件.最后,借助软件(Matlab)搭建模型,验证该算法可以很好实现稀疏信号的周期非均匀采样与重构.

According to the characteristics of periodic non-uniform sampling,signal reconstruction is performed by matrix vector based on joint subspace theory.The sparse signal is reconstructed by ITCSAMP combined with compressive sensing theory.The complete reconstruction conditions is analyzed.At last,the system is simulated by matlab.The result verified the feasibility of the system.