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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
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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
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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
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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
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学位论文；运动物体跟踪方法主要包括卡尔曼滤波，Mean-shift，Camshifi算法，粒子滤波器，Snake模型等；应用卡尔曼滤波方法设计了一套煤矿矿工出入自动监测系统；提出了一种新的基于高斯混合模型的颜色特征提取方法，该方法克服了现有的Camshift算法Continuousl y Adaptive eanshift中跟踪目标特征提取精确度低和计算复杂度高的缺陷-Dissertation moving object tracking methods include Kalman filt
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一篇来自IEEE的文章，关于无迹卡尔曼滤波算法在水下机器人上的应用-Adaptive unscented Kalman filter for deep-sea tracked vehicle localization
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Experiments with Kalman Gain for a simple noisy measurements - Adaptive Kalman filter technique
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Experiments with adaptive kalman filter for a Simple Noisy measurements-Experiments with adaptive kalman filter for a Simple Noisy measurements
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使用卡曼滤波器进行基于子空间的自适应多用户检测。经典文章，不容错过-Subspace-based blind adaptive multiuser detection using Kalman filter
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This paper presents an adaptive information fusion method to improve the
accuracy and reliability of the altitude measurement information for small unmanned aerial
rotorcraft during the landing process. Focusing on the low measurement performance
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利用新陈代谢灰色预测、样本自适应BP 神经网络和时间序列分析分别进行风电功率实时预测和日前预测，并采用熵值取权法确定组合权重，引入自控机制，构建反馈，提出组合预测法和基于时间序列的卡尔曼滤波法。研究结果表明，组合预测模型能减少各预测点较大误差的出现，而卡尔曼滤波能大幅消减原始序列的波动影响。-Use of metabolic gray forecast, sample adaptive BP neural network and time sequence analysis respective
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A new approach to improved filter design is presented for
the radar tracking problem. An idealized version of the
extended Kalman filter, which is unrealizable in practice,
is constructed using a universal linearization concept, and
then it i
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利用了小波分析以及自适应性卡尔曼滤波降低了信噪比，非常实用的论文-Use of wavelet analysis and adaptive Kalman filter reduces the signal to noise ratio, very practical papers
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卡尔曼滤波，具有自适应功能,对应五个经典的公式，方便大家学习使用-Kalman filter, the adaptive function Corresponding to the five classic formula, facilitate everybody to learn to use
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里边有几个关于卡尔曼滤波的程序，非常易用简单，大家可以拿来学习学习，特别是要自适应滤波的-Inside there are several application of kalman filtering, is very simple and easy to use, people can learn to learn, especially to the adaptive filter
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adaptive and kalman filter
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This paper presents a modified adaptive Kalman filter
for sensorless current control of a three-phase inverter-based distributed
generation system. Measurement and digital signal processor
delays have been compensated by using a modified Kalman
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Effective Adaptive Kalman Filter for
MEMS-IMU/Magnetometers Integrated
Attitude and Heading Reference Systems
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一种新型自适应卡尔曼滤波算法,用于各种测控场所。-A novel adaptive Kalman filter algorithm
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