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％ PURPOSE : Demonstrate the differences between the following filters on the same problem: ％ ％ 1) Extended Kalman Filter (EKF) ％ 2) Unscented Kalman Filter (UKF) ％ 3) Particle Filter (PF) ％ 4) PF with EKF proposal (PFEKF) ％ 5) PF with UKF proposal (PFUKF)( PURPOSE: Demonstrate the differences between the following filters on the same problem: 1) Extended Kalman Filter (EKF) 2) Unscented Kalman Filter (UKF) 3) Particle Filter (PF) 4) PF with EKF proposal ( PFEKF) 5) PF with UKF proposal (PFUKF))

he value of tag could be set to any integer between 1 and 14 which correspods to the trial number of subject

Least Square Parameter Estmiation System Identification - Calculate expection value & variance of parameter estimators(teta_hat) ... for different random noise variance & different input signals - FUM university

Dynamic program of unit commitment in power system

matlab时间序列信号处理，自回归滑动平均模型(ARMA model)

可行方向法，用于无约束优化的作业所制作，请大家指教(Possible direction method, used for unconstrained optimization of assignments)

一个对初学matlab的人很有用的视频学习资料，让初学者在短时间学习matlab界面(matlab study )

创建雷克子波，可用于地震资料分析与反演等，Matlab环境。(Create ricker wavelet)

说明：  Kalman滤波授时测量系统研究Kalman filter measurement system timing(Kalman filter measurement system timing)

说明：  matlab中distance函数的详细描述及其使用方法，以及将换算到直角坐标下的公式(in matlab，distance function details，using)