压缩感知（CS）理论是在已知信号具有稀疏性或可压缩性的条件下，对信号数据进行采集、

编解码的新理论。主要阐述了CS理论框架以及信号稀疏表示、CS编解码模型，并举例说明基于压缩感知理论的编解码理论在一维信号、二维图像处理上的应用。

-Compressed Sensing(CS) theory is a novel data collection and coding theory under the condition that signal is sparse

or compressible. In this paper, the CS framework, CS coding model are introduced, after which the application of CS theory in one-dimensional signal and two-dimension image are illustrated.