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这里有卡尔曼滤波原理及公式陈列，编程实现，外加外界白噪声的影响，旨在加强对卡尔曼滤波的直觉理解与应用。-There Kalman filter theory and formula display, programming, plus white noise of the outside world to enhance intuitive understanding of the Kalman filter and its application.
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In his 1960 famous publication (“A new approach to linear filtering and prediction problems”, Trans.ASME J. Basic Engineering., vol 82, March 1960, pp 34-45), Rudolf Kalman based the construction of the state estimation filter on probability theory,
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本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。-This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) th
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The function alphaBetaFilter implements a generic algorithm for an alpha-beta filter that is a linear state estimation for position and velocity given an observed data. It acts like a smoothing. Also closely related to Kalman filters and to linear st
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The Kalman filter, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing noise (random variations) and other inaccuracies, and produces estimates of unknown variables that t
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各种kalman滤波器的设计，pwm整流器的建模仿真，包括最小二乘法、SVM、神经网络、1_k近邻法,D-S证据理论数据融合，虚拟力的无线传感网络覆盖，包括广义互相关函数GCC时延估计。-Various kalman filter design, Modeling and simulation pwm rectifier Including the least squares method, the SVM, neural networks, 1 _k neighbor method, D-S
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现代信号处理中谱估计在matlab中的使用，各种kalman滤波器的设计，包含了阵列信号处理的常见算法，D-S证据理论数据融合，用MATLAB实现的压缩传感。-Modern signal processing used in the spectral estimation in matlab, Various kalman filter design, Contains a common array signal processing algorithm, D-S evidence theory
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