SAXS-Integrated-Intensity

用matlab实现的Gauss-Seidel迭代法。(Using matlab realize the Gauss-Seidel iteration method.)

把一幅图象分为88块的MATLAB程序，改动系数，可以实现任意块的分割(put an image is divided into 88 MATLAB, altered coefficient, can achieve arbitrary block segmentation)

chain based routing protocol for wireless sensor networks.

Program for solving the steady one-dimensional convection/diffusion equation.

说明：  本程序主要使用matlab软件实现对人脸识别(The program mainly on face recognition using matlab software)

Overview The Simulink model shows an example how the Kalman Filter can be implemented in Simulink. The model itself is configured with a Gaussian process connected with a Kalman Filter. To directly use this model, one only needs to provide model prarameters including parameters of the Gaussian process, which are state space matrices, A, B, C, and D, initial state, x0, and covariance matrices, Q and R and similar parameters for the Kalman Filter, which can be in different values to mimic the model mismatch, plus the state covariance, P. The following examples show how this model can be used. The Kalman Filter can also be used as a standard model block to be connected with any other systems

增量式PID控制算法Matlab仿真程序 设一被控对象G（s）=50/(0.125s^2+7s),用增量式PID控制算法编写仿真程序（输入分别为单位阶跃、正弦信号，采样时间为1ms，控制器输出限幅：[-5,5],仿真曲线包括系统输出及误差曲线，并加上注释、图例）。(Incremental PID control algorithm Matlab simulation program to set up a controlled object G (s) = 50/(0.125s ^ 2+7s), with incremental PID control algorithm simulation program written (unit step input, respectively, sinusoidal signal sampling time is 1ms, the controller output limiter: [-5,5], including simulation system output and error curve curves, plus notes, legend).)

关于高斯光束衍射的程序，可加强对其的理解。包括多种衍射(Application of gaussian beam diffraction, can strengthen the understanding of it. Including a variety of diffraction)

有借鉴意义哦，均值便宜跟踪的示例，各种kalman滤波器的设计。( There are reference Oh, Example tracking mean cheap, Various kalman filter design.)

用matlab编写的基于自生成神经网络(self-generated neural network)的预测方法(包含数据集)(prepared using Matlab based on the self-generating neural network (self-generated ne ural network) forecasting methods (including data sets))