Description: Kalman Filter is an efficient recursive filter that can estimate the state of a dynamic system from a range of noise measurements. It is widely used in engineering applications such as Radar and computer vision, and it is also a very important subject in control theory and control system engineering. Along with linear mean square programming, the Calman filter can be used to solve the LQG (Linear-quadratic-Gaussian, control) problem. Calman filter, linear mean square adaptation and linear mean square Gauss controller are the main solutions to the basic problems in most control fields.
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卡尔曼\The Balance Filter.pdf
卡尔曼\~$曼滤波简介及其算法实现代码(1).doc
卡尔曼\~$曼滤波简介及其算法实现代码.doc
卡尔曼\互补滤波版.zip
卡尔曼\卡尔曼滤波中文pdf.pdf
卡尔曼\卡尔曼滤波器大泻蜜.doc
卡尔曼\卡尔曼滤波学习及应用.pdf
卡尔曼\卡尔曼滤波程序.rar
卡尔曼\卡尔曼滤波简介及其算法实现代码(1).doc
卡尔曼\卡尔曼滤波简介及其算法实现代码.doc
卡尔曼\卡尔曼滤波算法及C语言代码.doc
卡尔曼\卡尔曼程序\新建 文本文档 (2).txt
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卡尔曼\及加速度计信号融合的姿态角度测量.pdf
卡尔曼\官方卡尔曼程序.txt
卡尔曼\新建文本文档.txt
卡尔曼\经典滤波算法.pdf
卡尔曼\卡尔曼程序
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