SAR--CS-imaging

实现两个稀疏矩阵相乘(效率高于早期的Matlab自带的程序)，Matlab编程 (SSMULT is a simple stand-alone MATLAB mexFunction that computes C=A*B where both A and B are sparse. It is typically faster and always uses less memory than C=A*B in MATLAB 7.4 (or earlier). Works on MATLAB 6.1 to the current version. Untested on earlier versions of MATLAB. It is a built-in function in MATLAB 7.6 and later for C=A*B when both A and B are sparse. )

根据样本估计密度曲线的方法，也就是pavzen窗函数法，采用正态窗函数，先画直方图，在估计平滑的密度曲线(Estimated based on the sample density curve method, which is pavzen window function method, using normal windows function, the first histogram drawn in the estimated density curve smoothing)

二阶振荡粒子群算法，提高算法的全局收敛性(SecVibratPSO)

介绍matlab编程的经典著作,包括与VC++进行联合编程,还包括一些经典的算法和源程序(Matlab programming on the classics, including the VC and joint programming, also including some classic algorithms and source)

包括图形应用篇、界面设计篇、图形处理篇、数值分析篇四部分。从简单的三角函数到图像分析、矢量数据、三角分析法、SOR迭代法等等(Including articles of graphics applications, interface design articles, graphics processing chapter, numerical analysis chapter four parts. From simple trigonometry to image analysis, vector data, triangulation method, SOR iterative method, and more)

1-8遗传算法，9 多目标Pareto最优解搜索算法，10 基于多目标Pareto的二维背包搜索算法，11-12免疫算法，13-17粒子群算法，18鱼群算法，19-21模拟退火算法，22-24蚁群算法，25-27神经网络，28 支持向量机的分类，29 支持向量机的回归拟合，30 极限学习机的回归拟合及分类(1-8 genetic algorithm, 9 multi-objective Pareto optimal solution search algorithm, 10 multi-objective Pareto based two-dimensional knapsack search algorithm, 11-12 immune algorithm, 13-17 particle swarm algorithm, 18 fish swarm algorithm, 19-21 simulated annealing algorithm, 22-24 ant colony algorithm, 25-27 neural network, 28 support vector machine classification, 29 support vector machine regression simulation Regression Fitting and Classification of Combination, 30 Extreme Learning Machines)

不使用matlab库函数,实现图像的直方图均衡化,并且显示灰度变化的函数曲线(Do not use library functions to achieve the image histogram equalization)

此程序主要是通过使用小波达到图像文件压缩的目的，可以比较不同的小波函数和压缩次解压缩后图像文件的差异，注意图像是二维的处理时使用二维的小波函数(This process is mainly through the use of wavelet compression to achieve the purpose of image files, you can compare different wavelet functions and extract the compressed time difference after the image file, pay attention to the handling of two-dimensional image is the use of two-dimensional wavelet function)

SIMULINK入门课件,入门者可以参考一下(Introduction to SIMULINK Courseware)

matlab通信仿真， 信道编码，好东西(communication matlab simulation, channel coding, good things)