【摘要】 压缩感知理论为信号采集技术带来了革命性的突破,它采用非自适应线性投影来保持信号的原始结构,以远低于奈奎斯特频率对信号进行采样,通过数值最优化问题准确重构出原始信号。分析了信号的稀疏表示、压缩感知的基本理论,设计了两种主要的重构算法——匹配跟踪算法、互补匹配跟踪算法,并对两种算法的特点进行了对比。更多还原

【Abstract】 The compressed sensing brings about a revolutionary breakthrough.It maintains the original signal structure by non-adaptive linear projection and samples the signal at much lower sampling rates than the Nyquist sampling rates.The signal can be exactly reconstructed by optimization.We analysyed the basic theory of compressed sensing and its two signal reconstruction algorithms including orthogonal matching pursuit and complementary orthogonal matching pursuit,and introduced the main application areas of the compressed sensing.更多还原