MATLAB-time-frequency-analysis

一种基于分块的压缩感知实验程序代码，并附有总结，实验效果很不许错(Based block of compressed sensing experimental procedure code, along with summary, the effect is not allowed to experiment wrong)

MATLAB是美国MathWorks公司出品的商业数学软件，用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境，主要包括MATLAB和Simulink两大部分。(MATLAB is a very popular language for technical computing used by students, engineers, and scientists in universities, research institutes, and industries all over the world.)

说明：  工程实际中的许多优化问题是多目标的优化设计问题。通常情况下多个目标是处于冲突状态的,不存在一个最优设计使所有的目标同时达到最优,一个目标性能的改善,往往以其它一个或多个目标性能的降低为代价。无论采用自适应遗传算法还是其它在标准遗传算法基础上经过改进的遗传算法,如果采用加权组合法等将多目标转化为单目标的处理方法,就无法充分发挥遗传算法的优势。如果把遗传 算法与适用于多目标处理的几此协方法相结合,就能完全发挥遗传算法在多目标优化设计中的作用。(Many optimization problems in engineering practice are multi-objective optimization design problems. Generally, multiple goals are in conflict. There is no one optimal design to achieve all goals simultaneously. The improvement of one goal's performance is often at the expense of the performance of one or more other goals. Whether adaptive genetic algorithm or other improved genetic algorithm based on standard genetic algorithm is adopted, if weighted combination method is adopted to transform multi-objective into single-objective processing method, the advantages of genetic algorithm cannot be fully utilized. If the genetic algorithm is combined with several cooperative methods suitable for multi-objective processing, the role of genetic algorithm in multi-objective optimal design can be fully exerted.)

递归极大似然数估计，在实际通信系统仿真过程中非常有用(Recursion number of maximum likelihood estimate, in actual communication system simulation process is very useful )

matlab 图像处理源代码，比较全，有多个matlab程序(matlab image processing source code, compare the whole, there are several matlab programs)

图像插值程序，可以实现对图像的任意缩放，即可以图像尺寸改变为任意大小。(Image Interpolation procedures can realize arbitrary scaling of images, namely image size can be changed to any size.)

Maximum Likelihood Estimation of Batch Perceptron Convergence

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

基于MATLAB与单片机的测控应用系统的程序代码(Based on MATLAB and MCU control application code)

解决图匹配的二次规划问题，完成一对一的匹配(Solve quadratic programming graph matching problem, and to complete a one-to-one matching)