MATLAB_rogramming_optimized_classic_document

稳态kalman滤波算法仿真通式 本程序考虑线性离散时不变随机系统。系统模型为x(t+1)=fai*x(t)+gama*w(t) y(t)=H(t)*x(t)+v(t)。有6个参数：状态转移阵fai，输入噪声系数gama，观测阵H，输入 噪声方差Q，观测噪声方差R，观测y( Steady-state kalman filtering algorithm simulation program to consider the general form linear discrete time-invariant stochastic system. System model x (t+1) = fai* x (t)+ gama* w (t) y (t) = H (t)* x (t)+ v (t). There are six parameters: state transition matrix fai, input noise figure gama, observation matrix H, enter noise variance Q, observation noise variance R, observation y)

flow simulation with 2D mesh

spatio-temporal Local Phase Quantization Three Ortogonal Planes (LPQ-TOP)

copmpute the risidual erro of travel time,always applied in Tomography

vc调用matlab，如何使用vc来调用matlab的文件等一些基础功能(matlab use vc++)

说明：  噪声对消算法； 消除信号中得噪声； 多传感器处理方法；(Noise cancellation algorithm; Eliminate noise in the signal; Multi-sensor processing method;)

说明：  本算法是基于鸡群优化算法CSO优化SVM，可以大大提高VMD的分类准确率，提高优化时间。(This algorithm is based on CSO to optimize SVM, which can greatly improve the classification accuracy of VMD and improve the optimization time.)

matlab使用程序教程，包括四部分：1-32是：图形应用篇；33-66是：界面设计篇；67-84是：图形处理篇；85-100是：数值分析篇(matlab tutorial to use the program, including the four-part :1-32 is: graphics applications, articles 33-66 is: interface design articles 67-84 is: graphics processing articles 85-100 are: Numerical Analysis Section)

Image Processing using matlab

Reliability analysis of the original IEEE-RTS