how can we train Deep Neural Network analysis for classify signals on a dataset on a 2D signal obtained from decomposition of a signal
4 views (last 30 days)
Sahil Jain on 3 Sep 2021
Hi. To train 2D signals, you can treat it as a 3D matrix of shape "1 x A x 2" where "A" is the length of your signal. The 2 different components of your signal will be treated similar to the 3 different channels in an RGB image. After transforming your data, standard neural networks can be used for classification. For more information on how to train neural networks in MATLAB, refer to the "Get Started with Deep Learning Toolbox" page.