l1magic-1.1-(new)

模糊PID控制器matlab simulink仿真,自适应模糊PID控制的仿真文件和模糊规制编写(Fuzzy PID controller matlab simulink simulation, simulation of adaptive fuzzy PID control and fuzzy regulatory documents prepared)

模糊PID控制程序，用于模糊自整定PID控制算法的实现(Fuzzy PID control procedures for the fuzzy self-tuning PID control algorithm to achieve)

雷克子波小程序,这个程序可以直接调用，包含振幅谱和相位谱(Wavlet of Ricker used in matlab)

MATLAB GUI里如何将文件保存成.m文件...(MATLAB GUI)

去噪处理是图像处理中较为重要的环节。中值滤波是抑制图像的噪声的一个行之有效的办法，选择适当大小的中值滤波窗口可以在最大限度的保持图像精度的基础上去除图像噪声。本文在对中值滤波去噪算法的适用性特点进行研究的基础上，进一步研究了中值滤波去噪算法，同时对其他去噪算法，如均值滤波、低通滤波的小波变换进行分析研究，并做了相应的比较。(Noise reduction is one of the most important parts of image processing. Median filtering is a proven way to remove image noise. To select the appropriate size of the window can maximize to remove image noise on the basis of maintaining the accuracy of the image. On the basis of investigating the application of the median filtering algorithm denoising characteristics, we do further study of the median filtering algorithm denoising. At the mean time we analyzed the mean filtering and wavelet transform algorithm, and compared them.)

边缘检测，用matlab编程。边缘检测是图像处理和计算机视觉中的基本问题，边缘检测的目的是标识数字图像中亮度变化明显的点。图像属性中的显著变化通常反映了属性的重要事件和变化。(Edge detection, using matlab programming. Edge detection is an image processing and computer vision in the basic problems, edge detection is to identify the purpose of the digital image brightness variations obvious point. Image attribute significant changes usually reflect important events and changes in properties.)

多变量灰色GM模型matlab例程，包括程序和理论分析论文(The multivariate gray GM models matlab routines, including procedures and theoretical analysis papers)

gpc example for proyect

1 chaos_draw_GCM.m 基于最大标准差绘制的大域耦合相图（GCM）；2 chaos_GCM.m 特定参数下的大域耦合状态变量的值的时域及频域图； 3 chaos_simple.m 混沌对初始条件敏感的实验； 4 ICAS.m ICAS系统的评价数据处理； 5 julia.m 朱莉娅集的绘制； 6 logistic.m 逻辑斯蒂克集的稳定点关于参数u的分布(1 chaos_draw_GCM.m drawn based on the maximum standard deviation of the big field coupling phase diagram (GCM) big field coupling state variable 2 chaos_GCM.m special parameter values ​ ​ in the time domain and frequency domain 3 chaos_simple.m Chaos sensitive to initial conditions experimental evaluation data processing 4 ICAS.m ICAS system draw 5 julia.m Julia sets stable point 6 logistic.m logic Si Dike set of parameter distributions u)

说明：  EEG脑电信号处理，使用CSP提取特征，后使用极限学习机ELM进行模型训练和分类，有较高的正确率。(CSP processing and ELM classification of EEG data.)