Huguangshu-matlab

国外学者编写UKF、EKF、IMM的matlab源码和说明文档，注释清楚，条理性强。最新版本(The methods that are discussed in the current documentation are: Kalman filters and smoothers.Extended Kalman filters and smoothers Unscented Kalman filters and smoothers Interacting Multiple Model (IMM) filters and smoothers)

说明：  调光测试算法实现，实现对相机自动调光函数的模拟实现(tiaoguang)

最大功率点跟踪仿真模型，采用扰动观察法效果理想(Maximum Power Point Tracking Simulation Model)

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

A GUI matlab model for getting the ionex value

说明：  一个很基础的运动目标检测的程序代码、码源~(A very moving target detection based code, source code ~)

M序列的产生算法，利用matlab 仿真实现(M sequence generation algorithm, matlab simulation)

mean filter for image

一种多目标差分演化算法的例程，可以自己添加目标函数(A multi-objective differential evolution algorithm routines, you can add your own objective function)

模糊C均值方法，将模糊的方法用到K均值方法里面(Fuzzy C Means method, the fuzzy approach method which used the mean K)