多维容积卡尔曼滤波

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高纬容积卡尔曼滤波源程序

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The source program for high-dimensional Kalman filter with high capacity is designed to estimate the state of a dynamic system. It is a powerful tool for state estimation in various fields such as signal processing, control engineering, and navigation. The algorithm is based on a recursive Bayesian filter that uses a series of measurements to estimate the state of a system. The high-dimensional Kalman filter can handle systems with a large number of states, while the high capacity ensures that the filter can handle a large number of measurements. The source program provides an efficient and accurate method for state estimation in complex systems.