SDynPy is an open-source Python package that was introduced to the community at IMAC XLI. To help mature the package for transfer path analysis and MIMO test simulation, several additions have been made to the inverse source estimation tools. Another goal was to make inverse methods more approachable for less experienced engineers. The main additions to the package include a more complete suite of inverse methods, time domain methods, and visualization tools to understand the effects of matrix conditioning schemes on the frequency response functions. This paper will go over the available methods and provide a brief tutorial for using the tools.

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Inverse Source Estimation Tools in SDynPy, an Open-Source Python Package

  • Steven Carter,
  • Daniel Rohe

摘要

SDynPy is an open-source Python package that was introduced to the community at IMAC XLI. To help mature the package for transfer path analysis and MIMO test simulation, several additions have been made to the inverse source estimation tools. Another goal was to make inverse methods more approachable for less experienced engineers. The main additions to the package include a more complete suite of inverse methods, time domain methods, and visualization tools to understand the effects of matrix conditioning schemes on the frequency response functions. This paper will go over the available methods and provide a brief tutorial for using the tools.