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WMXZ
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Is far as I can see, all models from the Acoustic Toolbox can be easily called from Matlab and Python.

My own preference is Bellhop was Bellhop, but have not used the latest version.

My experience with RAM is that wrong step/grid-size selection (related to frequency) can easily blow up computing time.

I would suggest to only use normal-mode or parabolic-equation based models for low frequencies (< 1kHz) and Bellhop otherwise.

Is far as I can see, all models from the Acoustic Toolbox can be easily called from Matlab and Python.

My own preference is Bellhop was Bellhop, but have not used the latest version.

My experience with RAM is that wrong step/grid-size selection (related to frequency) can easily blow up computing time.

I would suggest to only use normal-mode or parabolic-equation based models for low frequencies (< 1kHz) and Bellhop otherwise.

Is far as I can see, all models from the Acoustic Toolbox can be easily called from Matlab and Python.

My own preference is Bellhop, but have not used the latest version.

My experience with RAM is that wrong step/grid-size selection (related to frequency) can easily blow up computing time.

I would suggest to only use normal-mode or parabolic-equation based models for low frequencies (< 1kHz) and Bellhop otherwise.

Source Link
WMXZ
  • 7.6k
  • 1
  • 10
  • 35

Is far as I can see, all models from the Acoustic Toolbox can be easily called from Matlab and Python.

My own preference is Bellhop was Bellhop, but have not used the latest version.

My experience with RAM is that wrong step/grid-size selection (related to frequency) can easily blow up computing time.

I would suggest to only use normal-mode or parabolic-equation based models for low frequencies (< 1kHz) and Bellhop otherwise.