jingtongmatlab

本程序实现对图像的打开、退出操作，以及图像旋转、添加噪声、图像平滑（椒盐噪声处理、均值低通滤波处理、中值滤波处理）、图像直方图显示、预测编码，在MATLAB中用GUI实现。(This program implements the image is opened, quit the operation, as well as image rotation, adding noise, image smoothing (salt and pepper noise processing, the mean low-pass filtering, median filtering process), histogram display, predictive coding, in MATLAB using GUI implementation.)

matlab中所有基本函数功能实现的源代码，可以利用以下函数实现matlab中信号处理的傅里叶等函数变换。(matlab function to achieve the basic function of all the source code, you can use the following function implementation matlab signal processing functions such as Fourier transform.)

recursive least square

this is the four generator system of the Padhiyar book the simulation is well performed for the load gvn in the K.R. Padhiyar buk. The student those are referring this model can have this system for the study purpose.....

说明：  用runge-kutta方法求解微分方程(Using runge-kutta method for solving differential equations)

用于信号特征提取、信号消噪，快速扩展随机生成树算法，最小二乘回归分析算法，包括广义互相关函数GCC时延估计，信号处理中的旋转不变子空间法，包括最小二乘法、SVM、神经网络、1_k近邻法,包含特征值与特征向量的提取、训练样本以及最后的识别，针对EMD方法的不足。( For feature extraction, signal de-noising, Rapid expansion of random spanning tree algorithm, Least-squares regression analysis algorithm, Including the generalized cross-correlation function GCC time delay estimation, Signal Processing ESPRIT method, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, For lack of EMD.)

Histogram Equalization using Matlab without using the function histeq().

此模型为蓄电池模型，希望能够帮助到大家，祝大家天天开心！(This model for the battery model, hoping to be able to help you, I wish you happy every day!)

扩展卡尔曼滤波算法简单例子以及对应的matlab程序和仿真结果(Examples of extended Kalman filter algorithm is simple and the corresponding matlab procedures and simulation results)

电机控制matlab仿真模型，来源于某驱动公式，有一些库文件没有，但还是有很高的参考价值的(Matlab simulation model of motor control, from a formula-driven, there are no library files, but there is still a very high reference value)