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PredictorX1 t1_j0dkm9h wrote

I suggest trying to come up with simple summaries of the data to use as features. Also, I suggest attempting a relatively simple model first, such as linear discriminant or logistic regression. How many examples do you have of each of the 10 waveforms?

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omtallvwls t1_j0e1xtc wrote

Magnitude FFT or PSD of each waveform would likely be a good set of features.

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Tavallist OP t1_j0e44yt wrote

Thanks for the advice, it sounds promising and I'll definitely give it a go, but I gotta learn how to walk first!

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Tavallist OP t1_j0dlf72 wrote

Thanks a lot, I'll look into it, unfortunately I only have one example each, I currently just need it to tell me which if which when I run one of the examples through. Edit: Also how do I implement logistic regression if I have 10 possible outputs instead of just yes/no?

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