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Peantoo t1_j0e1tlq wrote

This could probably be done without machine learning... but why bother? Machine learning is great!

I did something similar once, but I wrote code to turn the waveforms into composite images, then just ran those through an image classifier since all I had to do was repurpose a previous object recognition project that used Keras.

Tons of ways this can be done, just experiment!

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Tavallist OP t1_j0e58g4 wrote

Love your enthusiasm! The composite images do sound really interesting for this application. Wonder how it would perform with larger noise levels in the network. Anyway I have no idea how these work, but I'll do my research, thanks!

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Peantoo t1_j0epnqi wrote

Run it through some denoisers like a VAE or something! But honestly, if you have labeled data, it should be able to handle noise just fine, especially if the features are evident.

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