VC++ programming using Kalman filtering, have a good and friendly man-machine interface, data and filtering drawn after actual comparison of the data graph, a good filtering effect

Kalman Filter2\Count_Filter.cpp
..............\Count_Filter.h
..............\Debug\1.txt
..............\.....\BuildLog.htm
..............\.....\Count_Filter.obj
..............\.....\Count_Filter.sbr
..............\.....\filter.bsc
..............\.....\filter.exe
..............\.....\filter.exe.embed.manifest
..............\.....\filter.ilk
..............\.....\filter.obj
..............\.....\filter.pch
..............\.....\filter.pdb
..............\.....\filter.res
..............\.....\filter.sbr
..............\.....\filterDlg.obj
..............\.....\filterDlg.sbr
..............\.....\MultiColorPlotCtrl.obj
..............\.....\MultiColorPlotCtrl.sbr
..............\.....\StdAfx.obj
..............\.....\StdAfx.sbr
..............\.....\Unitout.txt
..............\.....\vc60.idb
..............\.....\vc60.pdb
..............\.....\vc80.idb
..............\.....\vc80.pdb
..............\.....\卡尔曼滤波数据.txt
..............\.....\观测数据.txt
..............\filter.aps
..............\filter.clw
..............\filter.cpp
..............\filter.dsp
..............\filter.dsw
..............\filter.exe
..............\filter.h
..............\filter.ncb
..............\filter.opt
..............\filter.plg
..............\filter.rc
..............\filter.sln
..............\filter.suo
..............\filter.vcproj
..............\filter.vcproj.301-PC.Thunder.user
..............\filterDlg.cpp
..............\filterDlg.h
..............\Matrix.h
..............\Matrix.lib
..............\MemDC.h
..............\MultiColorPlotCtrl.cpp
..............\MultiColorPlotCtrl.h
..............\ReadMe.txt
..............\res\filter.ico
..............\...\filter.rc2
..............\resource.h
..............\StdAfx.cpp
..............\StdAfx.h
..............\testMultiColorPlotCtrl.aps
..............\Unitout.txt
..............\卡尔曼滤波数据.txt
..............\真实数据.txt
..............\观测数据.txt
..............\Debug
..............\res
Kalman Filter2

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