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Scientific Data Processing Examples

Here is an example comparing synthetic particle tracking velocimetry (SPTV) to a Runge-Kutta analytic solution of a vector field, showing particles being advected in a shortening zone. A part of the greater package analogy, which handles SPTV and other geomechanical/kinematic/thermochronologic modeling of analog tectonic sandbox modeling. [repo]

Here is an example of simple machine learning tools as applied to missing particle tracking data. This uses Scikit-learn and Pandas.

Here is an example of code I wrote to mask images based on foreground and background estimation, using Pandas, HDF5, and image processing tools. [repo]

Here is an example of using the surfaces generated in the previous example to give an estimate of surface slope, using Pandas, HDF5, and image processing tools. [repo]

Here is an example of manipulating NumPy arrays and saving them as scientific grid file formats (for Generic Mapping Tools and netCDF4). [repo]

Digital Signal Processing Examples

Here is a repo used to batch normalize and amplify/attenuate Make Noise Morphagene reels while preserving splice locations already present in the reels.

Here is a repo used to automatically detect onset transients in audio .wav files, saving them as splices in correctly-formatted Make Noise Morphagene reels.

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Please feel free to contact me at phialathouvenin@gmail.com with any questions!