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AmultiKalmanfilteringapproachforvideotrackingofhum
- A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments is an latest PH.D graduation paper! it give to most needing people.-A multi-Kalman filtering approach for vid eo tracking of human-delineated o
AnadaptiveKalmanfilterfordynamicharmonicstateestim
- Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive
AnadaptiveKalmanfilterfortheenhancementofspeechsig
- This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive colored noise is the only information available for processing. Kalman filtering is known as an effective speech enhancement technique, in w
RobustadaptiveKalmanfilteringbasedspeechenhancemen
- This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autore
kalmanPresentation1
- Kalman Filtering design for Inertial Navigation System-Kalman Filtering design for Inertial Navigation System
GPS数据的卡尔曼滤波处理及其在飞行试验中的应用
- GPS数据的卡尔曼滤波处理及其在飞行试验中的应用。-GPS data, Kalman filtering and its application in flight test.
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- The extended Kalman filter (EKF) has been widely used as a nonlinear filtering method for radar tracking problems. However, it has been found that in case cross-range measurement errors of the target position are large, the performance of the
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- Channel Estimation for 36 Wideband CDMA Systems Using the Kalman Filtering Algorithm