ControlYourPCWithMobilePhone_src

说明：  matlab实现的GM1_1灰色预测的程序。(matlab achieved GM1_1 gray prediction procedure.)

dsp-matlab的编程方法可自由下载此源码(dsp- Matlab programming method can download this free source)

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)

ImageClustering algorithm

适用于竖直放置的平面矩形阵的自适应波束形成(For flat rectangular array of vertically placed Adaptive Beamforming)

用于实现加了噪声的灰度图像阈值分割的一维最大熵方法，matlab源程序(Used to realize the addition of noise gray image threshold segmentation of the one-dimensional maximum entropy method, matlab source)

matlab退火算法工具箱，功能非常强大，可以大大方便数学建模(annealing algorithm matlab toolbox, very powerful, can greatly facilitate the mathematical modeling)

最新大规模天线阵列信道建模论文集，对研究大规模天线信道容量颇有帮助.(The latest paper set of Massive MIMO channel modeling. It is very useful for those who are interesting in Massive MIMO channel capacity.)

阵列信号处理中波束形成技术的apes算法matlab程序(The matlab code for apes algorthim of beamforming technique of array signal processing)

说明：  另一个解决无模型自适应控制问题的Simulink模型，可以作为学习MFA的参考 (Another solution to the issue of model-free adaptive control of the Simulink model can be used as reference for learning MFA)