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8psk的解调doc文章，超级有价值，可以用于工程实践。(8PSK demodulation doc articles, super valuable and can be used in engineering practice.)

dijkstra算法的matlab实现，最短路问题的一种解法。(dijkstra algorithm Matlab implementation, the shortest path to a solution of the problem.)

matpower算例程序程序及详细的说明文件，方便改进算法(matpower study program procedures and detailed documentation to facilitate improved algorithm)

应用交替方向乘子法来求解L1正则化问题、BP问题、LASSO问题的一种算法，(Application alternating direction multiplier method to solve L1 regularization problem, BP issue LASSO problem an algorithm)

polar码的SC译码算法，可设置不同信噪比，不同码长，可改为SCL算法和CA_SCL算法。核心部分采用C程序编写，主要框架采用matlab编写，极大提高了运行速度。 (SC polar code decoding algorithm, you can set different SNR, different code lengths, can be changed SCL algorithm and CA_SCL algorithms. The core part of C programming, the main framework for the use of matlab prepared, greatly increasing the speed.)

一个关于压缩感知的论文，是用子空间迭代法求出最后的稀疏解(a method for compressed sensing)

这是解微分方程的经典matlab程序包，里面包含的内容比较多，大家可以选择自己需要的用(This is the classic solution of differential equations matlab package, which contains more, everyone can choose their own need to use)

说明：  针对matlab的simulink仿真的知识，对有这方面需要的网友请下载。(Simulink for matlab simulation of the knowledge of a need, please download the User.)

The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.

使用MATLAB对二级微分方程采用直接求解的方法，并使用GUI编制界面(Use of two differential equations using MATLAB direct solution methods, and use the GUI interface to the preparation of)