NLmeansfilter

该代码为基于PID神经网络的系统控制算法(The code for the neural network system based on PID control algorithm)

基于改进人工势场法的不同形状的障碍物避障算法程序(Obstacles of different shapes based on improved artificial potential field method for obstacle avoidance algorithm)

实现拉朗日插值、线性插值、样条插值，用MATLAB计算两种二维插值的方法。(Implementation date lalang interpolation, linear interpolation, spline interpolation, calculated using MATLAB in two methods of two-dimensional interpolation.)

implementation of PDS filters

对于利用MATLAB标定工具箱得出相机标定参数后，此函数可利用标定得出的结果，对图像进行畸变矫正，输出矫正好的图像。(Calibration Toolbox for use MATLAB camera calibration parameters obtained, this function can be calibrated using the results obtained, the image distortion correction, output correction a good image.)

在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方 法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系 统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函 数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。 本章拟合的非线性函 数为 y = x1^2+x2^2. 。 (In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)

利用鱼群算法优化BP神经网络权值，该代码可以直接运行。(Fish swarm algorithm is used to optimize the weight of BP neural network, and the code can run directly.)

采用的是脉冲对消法，计算十字叉丝的在不同距离的衍射图像,分形维数计算的毯子算法matlab代码。( It uses a pulse of consumer law, Calculation crosshairs diffraction image at different distances, Fractal dimension calculation algorithm matlab code blankets.)

基于混沌系统的用用加密解密方法及实现源程序代码(Image encryption and decryption)

MATLAB有限元结构动力学分析与工程应用的源代码和数据文件(" MATLAB finite element structural dynamics analysis and practical application" of the source code and data files)