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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
Anadaptivefilteringapproachtotargettracking
- A method is presented for augmenting an extended Kalman filter with an adaptive element. The resulting estimator provides robustness to parameter uncertainty and unmodeled dynamics.-A method is presented for augmenting an ext Kalman ended with
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
RobustadaptiveKalmanfilteringwithunknowninputs
- The standard optimum Kalman filter demands complete knowledge of the system parameters, the input forcing functions, and the noise statistics. Several adaptive methods have already been devised to obtain the unknown information using the measur
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
SubspacebasedblindadaptivemultiuserdetectionusingK
- A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estima
Kalman1960
- 卡尔曼1960年原著论文,英文原版,详细的理论推倒,具有较高的学术价值-Kalman 1960 original papers, the English original, detailed theoretical overturned, with high academic value
ekf_orientation
- 给出了一种利用磁传感器进行方位估计的扩展卡尔曼算法，该方法效果很好。-gives a magnetic position sensor is estimated that the extended Kalman algorithms, the method yielded good results.
GPS_Kalman11
- kalman的经典介绍文章，附带文章中实际例子的原程序．
KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
KALMANDOCUMENT
- ACOUSTIC NOISE REDUCTION USING A MULTIPLE-INPUT SINGLE-OUTPUT KALMAN FILTER
KFIL
- Experiments with Kalman Gain for a simple noisy measurements
KFILCON
- Experiments with constant Kalman Gain for a Simple Noisy measurements-Experiments with constant Kalman Gain for a Simple Noisy measurements
KFILNEW
- Experiments with varying Kalman Gain for a Simple Noisy measurements-Experiments with varying Kalman Gain for a Simple Noisy measurements
Particle_filter
- 基于粒子滤波器的机动目标跟踪技术 首先 ， 概 要介绍传统的Kalman滤波器，以及有所改进的扩展Kalman滤波器。 其次，为了能更好地解决在动态模型为非线性且噪声为非高斯的条件下对机动目标的 跟踪问题，通过概率统计理论详细阐述粒子滤波器基本原理。然后，针对不同的使用 条件，根据粒子滤波器的基本理论做出适当的修改和整理，就得到了四个相关的粒子 滤波器的变型，使用州以JLAB把它们对机动目标的跟踪性能作了详细地计算机模拟 仿真且用均方根误差更加精确地进行了比较。最后，把粒
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.
05334728
- 关于被动测距的一篇论文，我认为是一种实用的方法，很不容易找回来的，希望大家喜欢！-By using of stored digital terrain data, the target’s location can be calculated. The digital terrain aided passive target tracking algorithm consists o f the LOS intersection algorithm and the Kalman
BazzanietalPETS09
- A Comparison of Multi Hypothesis Kalman Filter and article Filter for Multi-target Tracking-A Comparison of Multi Hypothesis Kalman Filter and article Filter for Multi-target Tracking
470
- This paper proposes an exact (Kalman-like) observer for the simultaneous state and parameter estimation in asynchronous motors - including speed and resistant torque estimation -, as well as a simulation study of its use under an estimate-based
An-Integrated-DGPS_IMUh
- 研究GPS与INS数据融合编程卡尔曼滤波算法-Study of GPS and INS data fusion programming Kalman filter algorithm