压缩感知基础内容，包括陶哲轩在外面讲座的ppt和一些大牛对CS的见解。

使用压缩感知进行信道估计的仿真代码，压缩感知+信道估计，matlab

一个可以在matlab上运行的压缩感知实例；本例以LFM为采样信号，包括稀疏分解、测量矩阵的设计和重构算法（OMP），验证了压缩感知理论的可行性。

从杜克大学网站上下载的贝叶斯压缩感知代码，该代码完全可以运行，是学习贝叶斯压缩感知的基础性代码。

杜克大学的Bayesian Compressive Sensing代码完整版。

关于分布式压缩感知算法代码，很实用的算法，对于研究压缩感知的人很有用

压缩感知在均匀线阵目标DOA估计中的应用，应用了OMP重构算法。

This textbook introduces sparse and redundant representations with a focus on applications in signal and image processing. The theoretical and numerical foundations are tackled before the applications are discussed. Mathematical modeling for signal sources is discussed along with how to use the proper model for tasks such as denoising, restoration, separation, interpolation and extrapolation, compression, sampling, analysis and synthesis, detection, recognition, and more. The presentation is elegant and engaging. Sparse and Red undant Representations is intended for graduate students in applied mathematics and electrical engineering, as well as applied mathematicians, engineers, and researchers who are active in the fields of signal and image processing.

压缩感知的方法实现TomoSAR三维成像，三维成像的原理等（Very High Resolution Spaceborne SAR Tomography in Urban Environment）

此函数用FISTA算法解决压缩感知，注释很详细，里面包含测试图片