I am working on a feature extraction problem (ECG signal). Within my literature review I stumbled across the following text:
"The wavelet transform is used to extract the coefficients of the transform as the features of each ECG segment. Simultaneously, autoregressive modelling(AR) is also applied to obtain the temporal structures of ECG waveforms." here
My question now is, how do the wavelet transformation and the AR differ, i.e. how does the AR 'obtain the temporal structure'?