5.SimulationPSlide

测试可以跑，根据自己情况修改下函数即可. NSGA-III 首先定义一组参考点。然后随机生成含有 N 个（原文献说最好与参考点个数相同）个体的初始种群，其中 N 是种群大小。接下来，算法进行迭代直至终止条件满足。在第 t 代，算法在当前种群 Pt的基础上，通过随机选择，模拟两点交叉（Simulated Binary Crossover，SBX）和多项式变异 产生子代种群 Qt。Pt和 Qt的大小均为 N。因此，两个种群 Pt和 Qt合并会形成种群大小为 2N 的新的种群 Rt=Pt∪Qt。 为了从种群 Rt中选择最好的 N 个解进入下一代，首先利用基于Pareto支配的非支配排序将 Rt分为若干不同的非支配层（F1，F2等等）。然后，算法构建一个新的种群St，构建方法是从 F1开始，逐次将各非支配层的解加入到 St，直至 St的大小等于 N，或首次大于 N。假设最后可以接受的非支配层是 L层，那么在 L+ 1 层以及之后的那些解就被丢弃掉了，且 St FL中的解已经确定被选择作为 Pt+1中的解。Pt+1中余下的个体需要从 FL中选取，选择的依据是要使种群在目标空间中具有理想的多样性。(The test can run and modify the function according to its own situation. NSGA-III first defines a set of reference points. Then the initial population containing N individuals (preferably the same number of reference points as the original literature) was randomly generated, where N was the size of the population. Next, the algorithm is iterated until the termination condition is satisfied. On the basis of current population Pt, the algorithm simulates two-point crossover (SBX) and polynomial mutation to produce offspring population Qt by random selection.)

包括最小二乘法、SVM、神经网络、1_k近邻法,有小波分析的盲信号处理，能量熵的计算，MIMO OFDM matlab仿真,Matlab实现界面友好。(Including the least squares method, the SVM, neural networks, 1 _k neighbor method, There Wavelet Analysis Blind Signal Processing, Energy entropy calculation, MIMO OFDM matlab simulation, Matlab to achieve user-friendly.)

The series compensation scheme is executed in this model.

说明：  这是个关于滤波器实验，有学习滤波器的可以看看(This is about the filter, the experimental study filter can see)

matlab sar simulation

很不错的关于计算分形维的matlab代码(Very good on the calculation of the fractal dimension of the matlab code)

基于MATLAB的升降压斩波电路的仿真，可以调节负载和占空比来观察波形的变化(Based on MATLAB buck chopper circuit simulation, you can adjust the load and duty to observe the waveform changes)

维纳噪声抑制，1、 实验原理是利用信号之间的相关性进行信号估计，从而将噪声滤除； 2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ，式中 是 的自相关阵， 是输入信号 和滤波器输入 之间的互相关矢量； (Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will filter out the noise 2, the auxiliary noise suppression observed signal Wiener-Hopf equation can be obtained by Wiener filter coefficients, where is the autocorrelation matrix, is the input signal and filters the cross-correlation between the input vector )

自编程序，主要用于驾驶中眼睛的定位，用matlab实现。(written procedures, mainly for driving the eye position, using Matlab to achieve.)

flimiter for 2D Advection Equation Riemann solver