AttenaEngineeringSchechule

image processing tool box

关于PSO的PPT讲解,对学习和了解PSO优化算法很有帮助(PSO on the PPT on the study and understanding of optimization algorithm PSO helpful)

说明：  基于灰色预测，指数平滑预测的几个MATLAB程序，对于预测类问题的数学建模，可以说是必备程序。我的导师给我传的。 funesm1,2,3分别为一二三次指数平滑预测程序 fungry为灰色预测程序 funcoef为时间序列预测程序 pudn为广大的编程爱好者提供了一个交流的平台，我在此先谢谢网站的工作人员，我也会努力编出好的程序，一起同大家分享。(Based on Gray predicted that the number of exponential smoothing forecasts MATLAB procedures, issues for the prediction of the mathematical modeling, can be said to be an essential procedure. My mentor gave me spread. funesm1, 2,3 were 123 times procedures fungry exponential smoothing forecast procedures funcoef gray prediction for time series forecasting procedures for pudn programming for the majority of fans provided a platform for exchange, I would like to thank the site staff, I will strive for a good program, to share together.)

this is matlab code that in it the pid method linear control is developed.the equation of motion is solved with runge-cuta method.

field oriented control of dc motor

编写一个简单的GUI 用于实现视频的读取，转换成灰度视频，最后显示出来。其中把视频每一帧彩色图像变换成灰度图像，并自动把灰度图像保存到当前生成的文件夹中，并合成灰度视频。 (Write a simple GUI for the video read, converted to grayscale video, and finally displayed. Wherein each of the video frame of a color image into a grayscale image and the grayscale image to automatically save the current folder is generated, and the synthesis of gray scale video.)

This toolbox was written for my own education and to give me a chance to explore the models a bit. It is NOT intended for any serious applications and it does not NOT do many of things you would want a mature implementation to do, like leaf pruning. If you wish to use a strong implementation I recommend Scikit Learn / Python. For Matlab I do not really have a recommendation.

LDPC的TDMP译码算法的不同量化方案下，误码率的仿真程序，包含encoder,decoder.并附有仿真图(Under different quantization scheme TDMP LDPC decoding algorithm, BER simulation procedures, including encoder, decoder. Together with simulation diagram)

进行T-S模型的离线辨识程序，只需要有数据，直接代入就可以辨识出T-S模型的center以及后件参数，非常实用，并有误差曲线提供分析(offline T-S fuzzy model identification，a erorr map is provided for T-S model effectivity analysis.)

用非精确线搜索来求函数极小问题，这种是在一维的情况下的情况(Minimization Problems with inexact line search to seek, this is the situation in the case of one-dimensional)