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说明：  Matlab下用的逐步定线方法解决逢山开路问题。加载后，运行主程序mutiline，结果在mountainoutput中。(This is the program for Matlab to solve the mountain road problem.)

本程序本人在matlab环境中处理电控发动机中处理喷油脉宽波形，方便分析喷油脉宽波形从而诊断故障。(The project is designed in the matlab environment to deal with electronically controlled fuel injection engine pulse waveforms, pulse waveforms so as to facilitate analysis of fuel injection fault diagnosis.)

说明：  实现BP分类，利用PSO优化BP，换数据可直接运行(Realize BP classification, use PSO to optimize BP, change data to run directly)

说明：  关于可见光通信信道建模的有关FLI仿真模型的部分MATLAB代码，可用软件MATLAB实现。(Some MATLAB codes of FLI simulation model about visible light communication channel modeling can be realized by MATLAB.)

说明：  3GPP LTE中TS36942路径损耗模型的源程序代码(TS36942 3GPP LTE path loss model in the source code)

QAM调制解调的实现，误码率分析，眼图，各个滤波器的性质(QAM modulation and demodulation implementation, bit error rate analysis, eye pattern, the nature of the various filters)

BP神经网络模型的算法和RBF神经网络模型的算法(Algorithm algorithm and RBF neural network model of BP neural network model)

计算了沿CMPL厚度方向，可以看出，CMPL的界面从第一个网格移动了1/4个网格，这是为了保证，CMPL更新的电场和磁场的数目相同。(The thickness direction along CMPL is calculated.It can be seen that the interface of CMPL moves 1/4 of the grid from the first grid to ensure that the number of electric and magnetic fields updated by CMPL is the same.)

限制玻尔兹曼机和深度信念网络的matlab代码，有具体例子(matlab code Restricted Boltzmann machine and Deep Belief networks, with specific examples)

％％％ Demos for PUMA algorithms ％％％ We present four matlab demos for PUMA. demo1, demo2, demo3, and demo4 illustrate PUMA working with different parameters and with four different images. All you need to do is to run each of the demos. Please be sure that all the files are put on an accessible path for matlab. Notice that this code is intended for research purposes only. For further reference see "Phase Unwrapping via Graph Cuts, IEEE Transactions on Image Processing, 2007( Demos for PUMA algorithms We present four matlab demos for PUMA. Demo1, demo2, demo3, and demo4 illustrate PUMA working with different parameters and with four different images.All you need to do is to run each of the demos . Please be sure thatall the files are put on an accessible path for matlab.Notice that this code is intended for research purposes only.For further reference see )