So I just realized how I can do signal identification via a set of processing tricks. Up until now, I’ve been playing with full signals, sometimes downsampling, but generally running whole sample rates. This is because I haven’t been able to figure out how Matlab AI or TensorFlow took some sets of data. I’m going to send the network trainer just signal characteristics I want to explore.

Like, I knew it was possible, but what arrays to pass, how to call the cells, yadda yadda, was unknown. Those sorts of things are a lot more complicated than one might think, if simply because they seem so easy. Maybe they are, but it took me a bit.

So tomorrow, Friday, I’m going to redo a AI function and pass it prechecked data. I think this should work, and I’m guardedly excited.

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