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Time data analysis and model identification
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What is it for?

  • Numerical analysis of time series
  • Data processing
  • Integration of models
  • Visualization of data
  • Selection of phases of interest
  • Model identification
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For who?

  • Students in science
  • Scientists
  • Engineers
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Strong points

  • Capability to treat large amount of data (>1GB)
    • The only limit is the RAM available on your computer
  • Flexibility
    • Adapted to a wide range of applications
  • Reactivity
    • Change something in your process, you see the result immediately
  • Ease of use
    • Each control of the interface has its own help message
    • The syntax for numerical or logical operations is very simple
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Requirements

  • Input files in csv format
  • Constant time step (*)

(*) The time reference parameter can be replaced by any other parameter (for example, distance).

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