👉 Haematics, also known as "wavelet transformations", are mathematical transformations that transform continuous time series into discrete time series. They can be used for a wide range of applications in signal processing and machine learning, including feature extraction, dimensionality reduction, and pattern recognition. In particular, they allow us to represent signals with their Fourier coefficients, which are essentially the frequency components of the original signal. Haematics then transforms these frequencies into wavelet coefficients that capture the structural information within the original signal (e