1 January 2021

    SPACEKIT Transformer: signal processing

    by Ru Kein

    spacekit.transformer

    tools for converting and preprocessing timeseries signals for ML

    hypersonic_pliers

    load datasets from file and extract into 1-dimensional numpy arrays

    thermo_fusion_chisel

    Scales each array of a matrix to zero mean and unit variance.

    babel_fish_dispenser

    Adds an input corresponding to the running average over a set number of time steps. This helps the neural network to ignore high frequency noise by passing in a uniform 1-D filter and stacking the arrays.

    fast_fourier

    takes in array and rotates #bins to the left as a fourier transform returns vector of length equal to input array

    tags: spacekit - astrophysics

    Contact

    If you want to contact me you can send a message on LinkedIn.

    License

    This project uses the following license: MIT License.

      
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