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FundamentalsofKalmanFilteringforGPSINSIntegration
- Fundamentals of Kalman Filtering for GPSINS Integration
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- 基于MAP算法的图像超分辨率重构技术研究硕士论文，文中介绍了超分辨率重建的理论基础与数学模型，基于卡尔曼滤波的序列图像运动估计及基于MAP的超分辨率重建的具体过程。-Algorithm based on MAP Super-Resolution Reconstruction of Image Technology master' s thesis paper introduces the theory of super-resolution reconstruction of the fo
qiji-eprint-1414-kalman-filtering-the-matlab-2nd.r
- 我收藏的关于kalman滤波的资料，拿出来和大家分享-I kalman filter on the collection of information, to share out
equalizer_thesis
- THESIS BLIND EQUALIZATION ALGORITHM BY USING PARALLEL KALMAN FILTERING. COMBINING KALMAN FILTERING ALGORITHMS WITH HMM. INLUDE MATLAB SOURCE CODES.
kalman filtering ,adaptive control
- kalman filtering ,adaptive control
EKF-matlab-program
- 扩展卡尔曼滤波(EKF)算法的matlab程序，包括UKF，PF性能的比较，滤波方差的比较-Extended Kalman filter (EKF) algorithm matlab procedures, including UKF, PF performance comparison, filtering variance comparison
Kalman
- Kalman 滤波 和曲线拟合 之间的对比试验-Kalman filtering and comparison test between the curve fitting
Moving-Object-Detection-and-Tracking
- 研究了目前运动对象检测与跟踪的一些常用方法,包括时域差分法、背景差分法、基于光流场的检测方法和卡尔曼滤波、特征光流法的跟踪方法,并对各种方法进行了比较,指出其优缺点及适用范围,并给出了时域差分及背景差分方法的实验结果-Currently some of the commonly used methods to study the detection and tracking of moving objects, including difference time domain method, b
LectureNotes-on-KF
- This a Lecture Notes on Kalman Filtering.-This is a Lecture Notes on Kalman Filtering.
Kalman-Filtering-with-Constraint
- Kalman Filtering with Equality and Inequality State Constraints
best-kalman-initital-code
- Ensemble Kalman Filtering for State and Parameter
kalman
- 这是一个关于扩展卡尔曼滤波器的源代码程序，解压后是文本格式的文件。-This is a program about battery SOC estimation with kalman filtering algorithm.
Square-root_algorithms_
- 该文章描述了基于MCC的均方根卡尔曼滤波算法，其性能由于传统的卡尔曼滤波，尤其是当测量噪声为脉冲噪声时。-square root kalman filtering algorithm based on MCC is descr ipted in this paper. the performance of the proposed algorithm in this paper outperforms the traditional kalman filter, especially for t
Kalman_Ultasonic_Constant.m
- alignment for SINS on stationary base Kalman filtering