SAR--CS-imaging

compressive sensing 新版本MMA14( This is an example using the Subspace Pursuit Algorithm of Wei Dai and Olgica Milenkovic "Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity" and the Re-weighted algorithm of Rick Chartrand and Wotao Yin "Iteratively Reweighted Algorithms for Compressive Sensing" In order to run this example you need to install all these m.files in the same directory and type trialSP2 at the prompt. Written by Igor Carron http://nuit-blanche.blogspot.com Creative Commons Licence with attribution)

这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。 此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训 练符号的信道估计等通信模块 (This is a space-time block coding based on MIMO_OFDM Communication System Simulation. This system consists of QPSK modulation and demodulation, IFFT modulation, space-time coding and decoding, symbol-based training channel estimation training and other communication module)

压缩感知恢复算法，解决l1最小化问题,能够得到线性非定常问题的最稀疏解(CS recovery algrithm)

基于蚁族算法的二维路径规划算法,寻找最短路径(Dimensional path planning algorithm based on ant algorithm)

matlab经典算法，包括各种绘图制图命令和例子(matlab classic algorithms, including various drawing graphics commands and examples of)

增广递增的最小二乘法，用于辨识，其中噪声信号使用的是M序列。(Augmented incremental least squares method, for identification, which the noise signal using the M sequence.)

求复杂网络节点之间的最短距离，也叫做测地线，对复杂网络的拓扑性质的分析很重要(Complex networks seeking the shortest distance between nodes, also called geodesic network topological properties of complex analysis is very important)

利用matlab的基本方法，求出矩阵的逆，体现matlab的矩阵功能。(Matlab using the basic method to derive the inverse matrix, the matrix reflect the matlab function.)

Many-featured, platform independent file and directory picker

digital image processing about filters