code-Feature-Selection-using-Matlab

Matlab code for demodulating QPSK signal

Introduction to Random Signals and Applied Kalman Filtering 书中.M文件(MFILES of Introduction_to_Random_Signals_and_Applied_Kalman_Filtering)

用分布傅里叶方法求解非线性薛定谔方程的matlab源码(matlab code for solving nonlinear Schrodinger equation by using split-step fourier method)

说明：  非线性李雅普诺夫指数计算，PPT，大学教程，可用那个matlab编程计算(The nonlinear LYAPUNOV index)

说明：  粒子群算法求函数最优解粒子群算法求最优解。(Particle Swarm Optimization)

说明：  极限学习机是一种神经网络仿真，比BP,SWM学习速度更快，参数设置更容易(Extreme Learning Machine is a kind of neural network simulation, compared with BP, SWM learning faster, easier to set parameters)

8psk、16QAM等的译码程序，可以在多种环境下仿真(8psk 16QAM decoding program, you can simulate a variety of environments)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

基于小波的图像压缩，采用就对了。自己运行过，效果还可以！(Image compression based on wavelet)

The file introduces a modified method for maximum power point tracking of a photovoltaic array by open circuit voltage method.