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说明：  遗传算法，MATLAB编的程序，希望对大家有用，所以传上来大家共享(Genetic algorithm, MATLAB allocation procedure, in the hope that useful, so Chuan-up share)

说明：  五接CIC滤波器的simulink仿真，希望对大家有所帮助(Then the five CIC filter simulink simulation, I hope all of you to help)

RLS多次仿真实验的对比分析，matlab下可以直观体现(RLS comparative analysis of several simulation, matlab visual expression)

论文<Outage Probability of Multihop Transmission Over Nakagami Fading Channels>文章的matlab仿真程序 ，作者mazen(Thesis <Outage Probability of Multihop Transmission Over Nakagami Fading Channels> Article matlab simulation program, the authors mazen)

通用的floyd算法程序，能够很好地解决最短路径问题，同时给出最短路的具体路径。(Floyd algorithm universal procedures, able to solve the shortest path problem, shortest path at the same time given the specific path.)

本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 (This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Have been saved because of the trained network weights, so the first use of identification procedures, he can run Release directory Under the executable file, then the test image directory read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may result in knowledge Do not rate very low. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the training Training sample size as much as possible.)

风力发电系统不控整流+最大功率点跟踪模型(mdl of wecs using uncontrolled rectifier and mppt)

频谱感知 能量检测算法 SNR -15 -20对比输出结果(energy detection spectrum sensing)

用Newmark 来计算地震反应谱，主要用地震动分析(With Newmark to calculate earthquake response spectrum, the main land vibration analysis )

本文介绍在Matlab 环境下发电厂水位控制BP 模型的建模与仿真方法, 得出了预测模型的最优参数。仿真结果表明, MATLAB 神经网络工具箱可有效地用来解决复杂的非线性控制系统的优化设计问题。(This article describes the Matlab environment plant level control BP Model modeling and simulation methods, predictive models obtained optimal parameters. Simulation results show that, MATLAB Neural Network Toolbox can be effectively used to solve complex nonlinear control system optimization design problems.)