文件名称:Kalman_Filter
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 8kb
- 下载次数：
- 0次
- 提 供 者：
- 杨**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
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卡尔曼滤波源代码
Some brief notes
----------------
kfdemo.m is a Matlab scr ipt file to run a demonstration of the
Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4
so that it will read in either v4 or v5 Matlab).
The other files are called by kf.m (the Kalman filter) or included
as they may be useful. Normalis.m normalises data to zero-mean,
unit variance along components. I always do this before any further
analysis.
Steve Roberts 7-2-98
-Kalman filter source code Some brief notes kfdemo.m is a Matlab scr ipt file to run a demonstration of theBayesian Kalman filter. It loads file kfdemo.mat (saved as version 4so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or includedas they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any furtheranalysis.Steve Roberts 7-2-98
Some brief notes
----------------
kfdemo.m is a Matlab scr ipt file to run a demonstration of the
Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4
so that it will read in either v4 or v5 Matlab).
The other files are called by kf.m (the Kalman filter) or included
as they may be useful. Normalis.m normalises data to zero-mean,
unit variance along components. I always do this before any further
analysis.
Steve Roberts 7-2-98
-Kalman filter source code Some brief notes kfdemo.m is a Matlab scr ipt file to run a demonstration of theBayesian Kalman filter. It loads file kfdemo.mat (saved as version 4so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or includedas they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any furtheranalysis.Steve Roberts 7-2-98
(系统自动生成,下载前可以参看下载内容)
下载文件列表
卡尔曼滤波
..........\gaussres.m
..........\kf.m
..........\kfdemo.m
..........\kfdemo.mat
..........\normalis.m
..........\read_me.txt
..........\waitbar.m
..........\gaussres.m
..........\kf.m
..........\kfdemo.m
..........\kfdemo.mat
..........\normalis.m
..........\read_me.txt
..........\waitbar.m