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中文摘要：
混沌压缩感知是一种采用混沌系统实现随机测量，利用稀疏正则非线性最优化技术实现信号重构的非线性压缩感知理论；具有实现结构简单，测量数据保密性强等特点。混沌调制是一种基于混沌压缩感知理论的模拟信息转换方法，该方法将待采样信号调制到混沌系统的参数上，通过低速采样混沌系统状态输出实现压缩采样。本文设计了一个基于Lorenz系统的混沌调制实验系统，测试了实验系统对不同稀疏度的频率稀疏信号的重构性能，实验结果验证了混沌调制模信转换的可实现性。
英文摘要：
Chaotic Compressive Sensing （ChaCS） is a nonlinear compressive sensing theory, which uses chaotic systemsto randomly measure signals and performs the signal reconstruction by sparsity-regularized nonlinearly optimization tech- nique. It is simple in implementation and can generate secure measurement data. Chaotic modulation is a ChaCS-based nonlinear analog-to-information conversion technique, which acquires compressive samples of the sparse analog signals through parameter-modulation at low-rate sampling of the chaotic system. This paper presents an experimental circuit of the Lorenz system-based chaotic modulation and studies its reconstruction performance. The exPerimental results validate the feasibility of the analog-to-information conversion.
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