MATLAB_code

这是回声状态神经网络的源代码，很难找的哦！！！！！！！！！！！！(This is the echo state neural network source code)

prims算法遗传算法 PID 控制，多变量解耦 PID 控制，几种先进的PID 控制，灰色 PID 控制，伺服系统 PID 控制，PID 实时控制，每种方法都通过 MATLAB 仿真程序进行了说明。本书各部分内容既相互联系又相互独立，读者可根据自己需要选择学习。本书适用于从事生产过程自动化、计算机应用、机械电子和电气自动化领域工作的工程技术人员阅读，也可作为大专院校工业自动化、自动控制、机械电子、自动化仪表、计算机应用等专业的教学参考(prims genetic algorithms described in MATLAB tutorial)

各种数字调制信号的产生，包括QAM,FSK,PSK,MATLAB程序(All kinds of digital modulation signal generation, including QAM, FSK, PSK, MATLAB program)

Simulacion sistemas de control PID

针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强 然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像 最后, 由低频子带图像和高频子带图像重构得到增强后的图像。针对大量图像进行了实验和增强效果的定性与定量评价, 并与双向直方图均衡法、二代小波变换法、Curvelet 变换法和多尺度Retinex法作了比较。结果表明, 所提出的方法增强了图像细节, 抑制了噪声, 并明显改善了图像的整体视觉效果。(As infrared image enhancement method based on wavelet transformation has the problem of unperfect visual effect , and Retinex enhancement algorithm can enhance visual effect of the image by improving brightness uniformity , amethod based on stationary wavelet transformation and Retinexis proposed.Firstly , the infrared image is decomposed into high-frequency detail and low-frequency approximation components at various resolutions, and the low frequency subband image of the largest scale is enhanced by multiscale Retinex algorithm.Then, the highfrequency subband images are denoised by Bayesian shrinkage method, and the gain coefficients of high-frequency subbands are available by calculating the local contrast of the enhanced low-frequency subband based on fuzzy rules to get the enhanced high-frequency subband images .Finally, the enhanced image is reconstructed by the low-frequency subband and high-frequency subbands .Experiments with qualitative and quantitative uation are carried ou)

计算光纤模量的MatLab源码，需要输入折射率，芯径比，模式等参数。(Calculation of fiber modulus MatLab source code, need to enter the refractive index, core diameter ratio, the mode parameter.)

电力系统潮流计算matlab牛拉法潮流计算(Niu Lafa Power Flow Calculation)

这个是用于两类的带有类别的数据的线性分类器，是结构体类型如下判别 y(i) = 1 if W *X(:,i) + b >= 0 2 if W *X(:,i) + b < 0(his function classifies input data X using linear discriminant function: y(i) = argmax W(:,y) *X(:,i)+ b(y) y where parameters W [dim x nfun] and b [1 x nfun] are given in model and nfun is number of discriminant functions. In the binary case (nfun=1) the classification rule is following y(i) = 1 if W *X(:,i)+ b >= 0 2 if W *X(:,i)+ b < 0)

第一个是标准差，用于算数学模型均值，评价模型的平均量 第二个熵，用于评价信息量的大小，熵越大信息量越大。 第三个用于pcnn模型,评价是否接近理论模型,残差越小，就越接近理论模型(The first is the standard deviation, the mathematical model is used to calculate the mean, the average amount of uation model. The second entropy, to uate the size of the amount of information, the greater the entropy the greater the amount of information. The third for PCNN model, uation is close to the theoretical model, residual error is smaller, the more close to the theoretical model)

基于线性控制的分数阶统一混沌系统的同步的仿真设计(Synchronization of Fractional Order Unified Chaotic Systems Based on Linear Control)