fuzzy

基于matlab的配电网潮流程序。可以计算潮流。非常容易使用(Based on the distribution power flow matlab procedures. Trend can be calculated. Very easy to use)

时频分析，用于时频分析，压缩文件，概率密度曲线 ，计算样本向量x的概率密度估计，返回在xi点的概率密度f，此时我们使用plot(xi,f)就可以绘制出概率密度曲线。(Time-frequency analysis, time-frequency analysis is used to compressed files)

计算BPSK在AWGN下得误码率。其中，设置高斯白噪声的功率为1，也即是归一化功率(calculate the BER of BPSK under AWGN channel)

进行图像边缘检测的程序，学图像处理的会有很大帮助(Image edge detection procedure, learning image processing would be of considerable help)

Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code Weather Forecast - MATLAB_Code

无线通信预留信道一维马尔科夫链.rar (The wireless communication reserved channels 1D Markov chain. Rar)

Elman神经网络：Elman网络是 J. L. Elman于1990年首先针对语音处理问题而提出来的, 它是一种典型的局部回归网络( global feed for ward l ocal recurrent)。Elman网络可以看作是一个具有局部记忆单元和局部反馈连接的前向神经网络。Elman网络具有与多层前向网络相似的多层结构。它的主要结构是前馈连接, 包括输入层、 隐含层、 输出层, 其连接权可以进行学习修正 反馈连接由一组“结构 ” 单元构成,用来记忆前一时刻的输出值, 其连接权值是固定的。在这种网络中, 除了普通的隐含层外, 还有一个特别的隐含层,称为关联层 (或联系单元层 ) 该层从隐含层接收反馈信号, 每一个隐含层节点都有一个与之对应的关联层节点连接。关联层的作用是通过联接记忆将上一个时刻的隐层状态连同当前时刻的网络输入一起作为隐层的输入, 相当于状态反馈。隐层的传递函数仍为某种非线性函数, 一般为 Sigmoid函数, 输出层为线性函数, 关联层也为线性函数。(Elman neural network: Elman JL Elman network is first proposed for speech processing problems in 1990. It is a typical local regression network (global feed for ward l ocal recurrent). Elman network can be seen as having a forward neural network of local memory unit and local feedback connections. Elman network has a multi-layer multilayer structure similar to the network. Its main structure is a feedforward connection, comprising an input layer, a hidden layer and output layer, which can be connected right learning correction feedback connected by a set of " structural" units, the output value of the memory for the previous time, which connection weights are fixed. In such a network, in addition to ordinary hidden layer, there is a special hidden layer, called an associative layer (or contact layer unit) this layer receives feedback signals the hidden layer, each hidden layer node has an associated layer node corresponding connection. The role of the associated layer is fo)

the code is dealing with the detection of faces in an image. it is basically a face detection code

基于Matlab的四极子电磁场分布图仿真(Matlab based on the four-pole distribution of electromagnetic field simulation)

matlab编程基础教程，适用于matlab入门学习和参考。简明易懂，直观易上手。(programming in matlab。)