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车载GPSDR地图匹配组合导航系统的自适应联合卡尔曼滤波模型-truck GPSDR map matching integrated navigation system of adaptive Kalman filter model
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空间谱估计的music仿真程序,以及自适应卡尔曼滤波算法。,Spatial spectrum estimation of the music simulation program, as well as the adaptive Kalman filter algorithm
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主动噪声控制的matlab仿真模型,使用了LMS滤波器,MATLAB simulink model of active noise cotnrol which applies LMS adaptive filter.
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卡尔曼 陀螺仪、倾角传感器融合,主要用了自适应卡尔曼滤波-Kalman gyro, tilt sensor fusion, the main use of the adaptive Kalman filter
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Ka lman 滤波的人体运动位置跟踪算法。基于视频的人体运动跟踪是当前计算机视觉研究的热点, 具有广泛的应用领域. 文中提出
一种基于Kalman 滤波的跟踪算法. 合理使用自适应背景颜色模型, 能够准确地对人体运动位置进
行跟踪-Ka lman human filtering algorithm to track the location of sports. Video-based human motion tracking is the current research on c
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Adaptive equalization via kalman filtering techniques. Optimal bounding ellipsoid algorithms, LMS and RLS and kalman filter
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realTrack : 真实估计
currentmodel : 构造当前模型
filter_Reslt: 进行自适应Kalman滤波
具体的参数含义及其设置见代码注释
-realTrack: estimated real currentmodel: the current model structure filter_Reslt: Adaptive Kalman filter for the specific meaning of the parameters and th
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维纳滤波器的设计,卡尔曼滤波器设计,自适应陷波器的设计。-Wiener filter design, Kalman filter design, adaptive notch filter design.
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基于matlab实现卡尔曼滤波。卡尔曼滤波是递推自适应滤波的一种有效方法。-Kalman filter based on the realization of matlab. Recursive adaptive Kalman filter is an effective method for filtering.
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此文件包含维纳滤波器、自适应滤波器和卡尔曼滤波器的matlab程序,同时包含相应的实验-wiener filter,adaptive filter and kalman filter
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Calculates adaptive autoregressive (AAR) and adaptive autoregressive moving average estimates (AARMA)of real-valued data series using Kalman filter algorithm.
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本文主要介绍了用模糊自适应卡尔曼滤波技术实现惯导和GPS的数据融合。-This paper presents a fuzzy adaptive Kalman filter technology for inertial navigation and GPS-data fusion.
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自适应卡尔曼滤波的详细论述,附有卡尔曼滤波的程序实现,-Adaptive Kalman filter in detail, the procedures for implementation with Kalman filtering,
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这是一篇关于自适应卡尔曼滤波在目标跟踪系统中应用的学习文章,对学习卡尔曼滤波有很大的帮助-This is an article on adaptive Kalman filter target tracking system applied in the study article, to learn the Kalman filter is very helpful
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本文件包含卡尔曼自适应滤波的所有程序及应用实例,是学习卡尔曼滤波的经典MATLAB程序-This document contains all the procedures Kalman adaptive filtering and its application, is to learn the classical Kalman filter MATLAB program
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EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分(忽略高阶项),常常导致在状态的后验分布的估计上产生较大的误差,影响滤波算法的性能,从而影响整个跟踪系统的性能。最近,在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器(Unscented Kalman Filter-UKF)。UKF的思想不同于EKF滤波,它通过设计少量的σ点,由σ点经由非线性函数的传播,计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性,从而比EKF滤波具有更高的估计精
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使用遗传算法的自适应Kalman滤波器,下自万方数据库.-adaptive kalman filter with genetic algorithm
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分别使用传统卡尔曼滤波和改进的自适应卡尔曼滤波对运动物体进行跟踪,比较并分析结果,验证自适应卡尔玛滤波的优点。-Respectively using conventional Kalman filter and adaptive Kalman filter for improved tracking of moving objects, compare and analyze the results to verify the advantages of adaptive filtering K
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这个是自适应卡尔曼滤波的程序,可以不用已知观测方程以及状态方程的噪声,能够在滤波时学习出-This is an adaptive Kalman filtering program that can do the known equations of state and noise measurement equation can learn while filtering out
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基于Sage-Husa自适应卡尔曼滤波器的海浪磁场噪声抑制算法以及海浪磁场噪声的产生(Sage-Husa Adaptive kalman Filter applicated in the suppression of magnetic fields noise induced by ocean waves)
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