diagnose

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

源代码 matlab源代码 m文件 基于MATLAB的Reed_Muller码编译码仿真(Source code matlab source code m file code decoding based on MATLAB simulation of Reed_Muller)

we can find the pixel values through this document

说明：  灰色预测模型是一种模糊预测算法，可以对信息不完全的或不知发展规律的变量进行预测(Gray prediction model is a fuzzy prediction algorithm, you can not know or incomplete information to predict the development of the law of variable)

用SOR迭代法求解方程组的解的matlab程序(With SOR iterative method to solve the solution of system program)

说明：  编写改进的差分进化算法，并对神经网络进行优化(improved differential evolution algorithm to optimization the neural network )

用matlab求电力系统导纳矩阵，可用于计算短路电流或潮流计算(Power system admittance matrix using matlab and can be used to calculate the short-circuit current or power flow calculation)

微带天线滤波器设计 北邮微波电子学实验内容ADS 个人想法非答案 (Microstrip antenna filter design BUPT microwave electronics experimental content ADS non-answer personal thoughts)

迭代学习控制应用于多输入多输出模型，采用s函数与simulink模型结合方式(iterative control)

说明：  matlab编写的源程序，用于粒子滤波！(matlab source code written for the particle filter!)