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Kalman Filtering(2E)
- 介绍kalman（卡尔曼）滤波器的英文文章 Kalman Filtering:Theory and Practice Using MATLAB, Second Edition-introduced Tracking (Kalman) filter English texts Kalman Filtering : Theory and Practice Using MATLAB, Second Edition
kalman
- Kalman Filtering Theory and Practice, Using MATLAB
详细讲解了KALMAN 滤波的理论和KALMAN
- 详细讲解了KALMAN 滤波的理论和KALMAN 滤波应用背景,讲的很详细,适合教学!-Explained in detail the theory and KALMAN KALMAN filter filtering application background, speak in great detail, suitable for teaching!
Kalman_Filtering_-_Theory_and_Practice_using_MATLA
- Kalman Filtering- Theory and Practice Using MATLAB 2008年第三版的随书源码-Kalman Filtering-Theory and Practice Using MATLAB the third edition CD
kalman
- 卡尔曼滤波器跟踪鼠标控制的移动的点，效果很好，便于理解卡尔曼滤波原理。-Kalman filter to track the movement of the mouse control point, the effect is very good, easy to understand Kalman filtering theory.
KalmanFilteringTheory
- Kalman滤波方面的一本比较经典的书籍。全英文版，对Kalman滤波的原理、过程以及方法进行了深入浅出的介绍。-Kalman filtering aspects of a relatively classic books. The entire English version of Kalman filter theory, process and methods introduced in simple terms.
yefu_tuoluo_jianmofenxi
- 采用时间序列分析理论,利用实际测量的数据,建立了液浮陀螺随机漂移的ARMA模型。最终,为便于将模型应用于卡尔曼滤波器中,本文给出了一种实际可行的液浮陀螺漂移模型 -Using time series analysis theory, the use of actual measurement data, the establishment of a liquid floating gyro random drift of the ARMA model. Ultimately, in orde
Kalman_filtering_theory_and_practice
- Kalman filtering.. theory and practice using MATLAB
kalman
- Kamlan Filters. Theory and beginning applications of the most used filtering methods for applications to multi agent systems
targettrackingusingkalman
- The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topi
kalman
- 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.
kalmanfilteringtheoryandpracticeusingmatlab
- kalman filtering theory and practice using matlab
Kalman-filtering_Grewal
- Examples in Matlab languages for the book "Kalman Filtering, theory and practice using Matlab, 3ed Ed, by M.S. Grewal.-Examples in Matlab languages for the book "Kalman Filtering, theory and practice using Matlab, 3ed Ed, by M.S. Grewal.
kalman-Theory
- 介绍卡尔曼kalman滤波器原理的书籍，可以由此衍生出后来的相关性质-Introduced the principle of Kalman filter kalman and books, which was derived from the related properties
Kalman-Filtering-Theory-and-Practice
- 这本书提供了坚实的介绍卡尔曼滤波的理论和实践方面的读者。它已经更新了卡尔曼滤波，包括适应非线性滤波，更可靠的平滑方法，并在导航应用程序开发的实施和应用的最新发展。所有的软件是在MATLAB中，提供给读者的机会，发现如何卡尔曼滤波行动，并考虑实际运算需要保持结果的准确性。-This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering.
Kalman-filtering-theory-of-Kalman
- 卡尔曼滤波/卡尔曼原理/卡尔曼滤波源代码-Kalman filter/Kalman theory/Kalman filter source code
kalman
- Kalman滤波原理及源码matlab实现-Kalman theory and implementation
Kalman filter
- 卡尔曼滤波（Kalman filtering）一种利用线性系统状态方程，通过系统输入输出观测数据，对系统状态进行最优估计的算法。由于观测数据中包括系统中的噪声和干扰的影响，所以最优估计也可看作是滤波过程。 斯坦利·施密特(Stanley Schmidt)首次实现了卡尔曼滤波器。卡尔曼在NASA埃姆斯研究中心访问时，发现他的方法对于解决阿波罗计划的轨道预测很有用，后来阿波罗飞船的导航电脑使用了这种滤波器。 关于这种滤波器的论文由Swerling (1958), Kalman (1960)与 Ka
kalman
- 基于卡尔曼滤波对现有采样数据进行滤波，有效降低观测值的误差。卡尔曼滤波是一种时域方法，它把状态空间的概念引入随机估计理论，用状态方程、观测方程和噪声激励递推估计测量噪声，便于实现实时应用。(The existing sampled data is filtered based on Kalman filter, which can effectively reduce the error of the observed value. Kalman filtering is a time doma
KalmanFilter
- Kalman Filter Theory