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Visual Kalman Filter 4.0

"Visual Kalman Filter" is a visual math tool to simulate Kalman filter.

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Last Week downloads: 0
Total downloads: 421
  • Last Updated: Feb 11, 2010
  • License: Shareware $49.95
  • OS: Windows 7/Vista/2003/XP/2000/98/Me
  • Requirements: No special requirements

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For Visual Kalman Filter 4.0Publisher's description

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Visual Kalman Filter is a Home & Education software developed by HAN Software Studio. After our trial and test, the software is proved to be official, secure and free. Here is the official description for Visual Kalman Filter:

Brothersoft Editor: "Visual Kalman Filter" is a Visual Math tool to simulate Kalman filter. Only three steps you need do,and you'll get the curve and the estimated results.

Function:

The Kalman filter is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process, in a way that minimizes
the mean of the squared error. The Filter is very powerful in several aspects: it supports estimations of past, present, and even future states, and it can do so even when the PRECISE nature of the modeled system is unknown.
'Visual Kalman Filter' provides a visual method to estimate the state of a process. The users need not install matlab, and there are only three steps to operate it. Finally if you click the state you want to observe, the figure and the values of the estimated result will appear immediately.
The main operation you need to do is to set initial matrice. User has two choices:
1. Open an existent matrice txt file edited beforehand. For example, user can open the txt files in the folder 'Demos' in the installed path.
2. Fill the matrice manually, and save them in a txt file at last.
you can free download Visual Kalman Filter 4.0 now.

For Visual Kalman Filter 4.0Related Software

Statement

Please be aware that Brothersoft do not supply any crack, patches, serial numbers or keygen for Visual Kalman Filter,and please consult directly with program authors for any problem with Visual Kalman Filter.