【摘要】 随着科技的发展,呈爆炸式增长的现代数据给数据的采集、传输和储存产生了巨大的压力和浪费.压缩感知理论(Compressed Sensing,CS)的提出有效缓解了以上压力.本文在介绍CS理论框架的基础上阐述其重构算法的分类和发展,着重介绍了稀疏重建模型和低秩重建模型对应的重建算法及各算法的特点.更多还原

【Abstract】 With the development of science and technology, the explosive growth of modern data has brought tremendous pressure and waste in data acquisition, transmission and storage. Compressed Sensing(CS)has effectively relieved these pressures. This paper describes the classification and development of reconstruction algorithms based on the CS theoretical framework. Based on the sparse reconstruction model and the low rank matrix model corresponding,various reconstruction algorithms are introduced.更多还原