Proficient-in-MATLAB

”BP.m“文件是BP神经网络整个模型的源程序； “train.fig”是训练时最后得到的图片； “程序运行的人口数量原始数据.fig”是预测结果绘制的图； “程序运行时matlab命令窗口的内容.txt”是运行程序是在matlab命令窗口显示的东西； “程序运行完产生的数据.mat”是程序运行完毕产生的数据。 .bmp文件和.fig文件一样()

这是一个实现FM调制的信号去噪均衡程序，你可以理解FM调制的原理，同时理解均衡去噪的原理(This is an FM modulated signal denoising achieve a balanced program, you can understand the principles of FM modulation, while understanding the principles of balanced de-noising)

两关节机械臂的独立PD控制，控制算法和机械臂模型均采用s_function函数编写。(Two independent joint manipulator PD control, control the preparation of the algorithm and manipulator model are used s_function function.)

Assignmnet of adaptive filtering

关于卡尔曼滤波的matlab代码，其中包含了滤波的主算法，以及使用EM查找最大可能的估计参数，随机样本等等(Kalman filter matlab code, which contains the main algorithm filtering, and the use of EM to find the best possible estimate parameters of a random sample, etc.)

图片印刷字符的识别（可识别多种字体） 将Matlab工作空间路径设置为本文件夹 在Matlab命令窗口内输入： numCongnition( able1/01.jpg ) 通过改图片来对不同的图进行处理，其中able1,able2,able3三个文件夹分别对应三种字体 命令窗口输出要识别的字符，并且自动弹出中间处理过程窗口 也可以运行： num = pretreat( able1/01.jpg ) imshow(num) 直接得到预处理后的图片 再键入： getNumber(num) 得到字符输出 (Set the Matlab workspace path to this folder In the Matlab command window input: NumCongnition ( able1/01. JPG) Through change pictures to deal with different figure, including able1, able2, able3 three folders corresponding to three kinds of fonts Command window output to identify characters, and automatically process among popup Windows Can run: Num = pretreat ( able1/01. JPG) Imshow (num) Directly after preprocessing of images Type: GetNumber (num) Get the output character)

用此程序中您可以控制鼠标并单击或双击您想要的位置，而不必鼠标！这些项目有利于教学软件。这些程序中还用到C库！(With this program you can control mouse and click or double click anywhere you like without touching mouse ! also upload keyboard_simulation for controlling keyboard without touching it ! These programs is good for teaching softwares. In these programs c library is used ! )

说明：  基于MATLAB，可以方便地产生随机数，均匀分布和高斯分布等 (Based on MATLAB, can easily generate random numbers, uniform distribution and Gaussian distribution)

This a matlab code for nested dissection.(This Matlab code for a nested dissection.)

计算重分析指标，Dq，也是本课题组编写，欢迎使用(To calculate the multifractal Dq curves for multiple time series.)