# ChangjingLiu/Data\_Fusion\_Course

<https://repo.masters-masters.com/en/repos/ChangjingLiu/Data_Fusion_Course>

[Home](https://repo.masters-masters.com/en) › [ChangjingLiu](https://repo.masters-masters.com/en/owners/ChangjingLiu) › [Data\_Fusion\_Course](https://repo.masters-masters.com/en/repos/ChangjingLiu/Data_Fusion_Course)

ChangjingLiu/Data\_Fusion\_Course has 112 stars on GitHub. Its RepoMasters card: Prototype tier. The solution of the data fusion course of SJTU. MTALAB code for…

| Field | Value |
| --- | --- |
| Owner | [ChangjingLiu](https://repo.masters-masters.com/en/owners/ChangjingLiu) |
| Stars | 112 |
| Forks | 12 |
| Language | [MATLAB](https://repo.masters-masters.com/en/languages/matlab) |
| License | MIT |
| Created | 2022 |
| Topics | kalman-filter, kalman |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ChangjingLiu/Data\_Fusion\_Course](https://github.com/ChangjingLiu/Data_Fusion_Course) |

## Repository

The solution of the data fusion course of SJTU. MTALAB code for KF/UKF/EKF/PF/FKF/DKF. 数据融合技术，卡尔曼滤波KF/无迹卡尔曼滤波UKF/拓展卡尔曼滤波EKF等的MATLAB实现

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.