Limit-the-return-of-learning-machine

Matlab Image Processing CCONV

Delphi与Matlab混合编程，在Delphi中调用Matlab文件(Delphi and Matlab. Matlab files being called in Delphi)

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)

基于去斜处理的线性调频雷达回波生成及压缩(Inclined to deal with based on the linear frequency modulated radar echo generation and compression)

说明：  屎王nes资料，屎王nes资料，关于任天堂主机的(nes infomation，nes infomationnes infomation)

基于单神经网络的PID智能控制，基于自适应神经网络补偿的PD控制，基于二次型性能指标学习算法的单神经元自适应PID控制。(PID intelligent control based on single neural network, PD control based on adaptive neural network compensation, single neuron adaptive PID control based on two order performance index learning algorithm.)

在matlab中使用盲去卷积滤波法进行图像的复原(Image restoration using blind deconvolution filtering in matlab)

matlab机械优化设计实例课件，及一个实例源代码(matlab mechanical optimal design courseware, and an example source code)

这是一个基于matlab的一个pca变换，先从去均值处理，在降维，然后一些列变化(This is a based on the matlab a pca transform, first from to mean processing, on dimensional reduction, and then a few changes )

matlab的图论工具箱，基本够用了，大家试一试。(matlab toolbox graph theory, basic enough, please try.)