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卡尔曼于1960年提出了离散系统线性滤波的递推求解方法即卡尔曼滤波算法。该滤波算法是基于线性最小平方法的、进行有效递推计算的一组数学方程式,算法功能强大,支持对过去、现在和将来状态的估算。-Kalman in 1960 proposed a linear discrete-time systems to solve recursive filtering methods for the Kalman filter. The filtering algorithm is based on the
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卡尔曼于1960年提出了离散系统线性滤波的递推求解方法即卡尔曼滤波算法。该滤波算法是基于线性最小平方法的、进行有效递推计算的一组数学方程式,算法功能强大,支持对过去、现在和将来状态的估算。-Kalman in 1960 proposed a linear discrete-time systems to solve recursive filtering methods for the Kalman filter. The filtering algorithm is based on the
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THIS PROGRAM IS FOR IMPLEMENTATION OF DISCRETE TIME PROCESS UNSCENTED KALMAN FILTER FOR GAUSSIAN AND LINEAR STOCHASTIC DIFFERENCE EQUATION.
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对于扩展卡尔曼滤波在非线性系统中由于线性化过程引入了线性化误差，从而导致滤波器性能下降甚至发散造成滤波发散的情况-For the extended Kalman filter to nonlinear systems of linear process because of the introduction of the linearization error, leading to filter divergence of performance degradation and even f
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This paper presents a method that combines
colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly
detected using the human detector proposed by Dalal and Triggs which involves com
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kalman filter
This scr ipt implements the linear filter and shows its performance
On a second order under-damped LTI systems
In the first part, a noisy model with two state variables is simulated and
in the second part, kalman filtering is
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线性卡尔曼滤波的基本知识介绍，适合初学者学习，通俗易懂，希望对有需要的人有所帮助-Basic knowledge of linear Kalman filter, suitable for beginners to learn, easy to understand, and I hope to help people in need
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Kalman filtering with state constraints:
a survey of linear and nonlinear algorithms
D. Simon.
in this file introduced nem kalman filter and can be used for any application.
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卡尔曼滤波器是一个对动态系统的状态序列进行线性最小误差估计的算法，一般用于线性系统。一般在运动跟踪领域中摄像机相对于目标物体运动有时属于非线性系统，但由于在一般运动跟踪问题中图像采集时间间隔较短，可近似将单位时间内目标在图像中的运动看作匀速运动，采用卡尔曼滤波器可以实现对目标运动参数的估计。-Kalman filter is a state sequence of linear dynamic systems smallest error estimation algorithm for lin
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介绍了Kalman滤波器是一种线性的离散时间有限维系统，对kalman滤波算法公式进行了详细的推导-It introduced the Kalman filter is a finite-dimensional linear discrete-time system, kalman filtering algorithm formula derived in detail
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Various kalman filter design, allan FOG output error variance analysis, Jacobi iteration for solving linear equations class-based.
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Linear Quadratic Gaussian (LQR) controller and Kalman Filter (KF) both are robust when acting separately, but this property is lost if using them together.
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