Hi,
In deep learning(LSTM Prediction), Input time-series signals are subdivided by wavelet decomposition and statistical features are extracted in order to extend the feature columns.
Will it possible to extract the features for lstm prediction method? or raw input signal should be taken for lstm prediction method??
Thanks,
Thenmozhi