CS_OMP

说明：  在matlab simulink 中实现kalman滤波器设计，可以生动的演示kalman滤波在运动估计中的预测作用(Matlab simulink in achieving kalman filter design can be a vivid demonstration of kalman filtering in the motion estimation of the prediction)

Matlab教程，很有用的，写得很详尽，要用它做东西的可以看看(Matlab books)

AI仿真程序模型,频率角度正反馈模型，某国际知名公司专利(simulink model for AI based on the phase & frequency shift active model)

电子书：精通GUI图形界面编程，施晓红编著。(EBook: proficient in GUI graphical interface programming, Shi Xiaohong, ed.)

说明：  雷达空域处理的capon谱简单matlab程序示例，最基础的那种(capon pattern matlab code)

Get the PSD with the covarianze method.

家庭理财统计！可以在一定的时间一定的消费类型消费人员金额等等的统计！(Family financial management and Statistics! At a certain time a certain amount of the consumption type of consumption, personnel statistics, etc.!)

说明：  RS码的编码和译码程序，迭代译码，程序调试通过(RS encoding and decoding program code, iterative decoding, program debugging by)

两种噪声下，卡尔曼滤波的100次Monte Carlo仿真验证，画出了每时刻卡尔曼预测均方根误差和估计均方根误差的Monte Carlo变化曲线(with uniform and Gaussian noise respectively,through 100 Monte Carlo simulations,output thecurves of sampled state prediction variances and estimate variances of kalman filter in each element vs.time step.)

Color can provide an efficient visual feature for tracking nonrigid objects in real-time. However, the color of an object can vary over time dependent on the illumination, the visual angle and the camera parameters. To handle these appearance changes a color-based target model must be adapted during temporally stable image observations. This paper presents the integration of color distributions into particle filtering and shows how these distributions can be adapted over time. A particle filter tracks several hypotheses simultaneously and weights them according to their similarity to the target model. As similarity measure between two color distributions the popular Bhattacharyya coefficient is applied. In order to update the target model to slowly varying image conditions, frames where the object is occluded or too noisy must be discarded.