RabbitChooseCarrot t1_j0e9j5w wrote on December 16, 2022 at 12:27 AM Reply to [D] Waveform recognition question by Tavallist You can also look into discrete wavelet transforms - while typically more helpful to reduce dimensionality of longer signals (I've used it for 8000-data-point-pong signals), it may also work here. Here's a nice guide I have come across in the past: https://ataspinar.com/2018/12/21/a-guide-for-using-the-wavelet-transform-in-machine-learning/, and here's a streamlit app I once built as a gentle intro to DWT after learning about it: https://intro-to-wavelets.streamlit.app/ Permalink 2
RabbitChooseCarrot t1_j0e9j5w wrote
Reply to [D] Waveform recognition question by Tavallist
You can also look into discrete wavelet transforms - while typically more helpful to reduce dimensionality of longer signals (I've used it for 8000-data-point-pong signals), it may also work here. Here's a nice guide I have come across in the past: https://ataspinar.com/2018/12/21/a-guide-for-using-the-wavelet-transform-in-machine-learning/, and here's a streamlit app I once built as a gentle intro to DWT after learning about it: https://intro-to-wavelets.streamlit.app/