BPSK_Demodulation

matlab从入门到精通第9章书后源码对初学者很有帮助(matlab)

matlab 工具箱下载，含各种matlab 处理函数文件(matlab toolbox download matlab processing functions with a variety of documents)

最速下降法和牛顿法解决最优化问题 dampnm.m - 牛顿法 grad.m - 最速下降法(The steepest descent method and Newton' s method to solve optimization problems dampnm.m- Newton grad.m- the steepest descent method)

S函数异步电机模型，从而可以用MATLAB来编程，以及其他相关作用(S function of induction motor model, which can be used MATLAB to programming, as well as other relevant role)

matlab编写的MIMLBoosting算法，其中包括实现算法的函数，还有可作为示例的数据和主程序，可以运行，可以对多示例多标记样本进行分类，并计算正确率等多个指标。(MIMLBoosting algorithm matlab prepared, including the implementation of the function of the algorithm, as well as examples of data and the main program, you can run, you can multi-instance multi-label classification of samples and calculate the number of indicators, such as the correct rate.)

DME测距仪信号,利用MATLAB生成，可以作为GNSS的脉冲干扰( DME signal generated utilize MATLAB)

适用于地球物理反演的matlab工具箱，可以以此工具箱进行相应的反演分析(Geophysical inversion for matlab toolbox, this kit can make the appropriate back analysis)

说明：  matlab信道模型，用于模拟多用户下用户间干扰的模型。(Matlab channel model for the simulation of multi-user interference between users under the model.)

MATLAB图像处理的教程，常用的一些函数(MATLAB Image Processing tutorial, used some of the functions)

我从网上下载了一个GA－PSO算法，试着利用GA和PSO组合的策略进行优化，结果算法很问题，效率和不错。我下载原始算法，有一个问题就是它是针对所有的设计变量上下限都是一样的，所以我对程序进行了修改与改进，现在可以处理上下限不一致的问题，同时fix了一些bug。(GA GA and PSO algorithm matlab program combined ion group When doing optimization, first choose the GA algorithm, but the instability of the GA (or into a local optimum) it drives people crazy, even after twice the difference results can sometimes reach 30 or more, but because of time reason, I had to choose the optimal 1000, then the minimum of which the most optimal solution. Although the problem is considered solved, but will be from an academic, which makes Ben is very embarrassing. So, I downloaded a GA-PSO algorithm, try to use a combination of GA and PSO optimization strategy, the results of algorithm is the problem, efficiency and good. I downloaded the original algorithm, there is a problem is that it is the design variables for all upper and lower limits are the same, so I had to modify and improve the program, can now handle upper and lower limits inconsistencies, and fix some bug.)