Is it possible to denoise an univariate time series signal such as a torque signal for using Discrete Wavelet transformation? If so where should I begin to learn this technique for python implementation?
Since the approximation coefficient obtained after wavelet transform, is a sub-sampled version of the original signal, it does help to reduce noise to a certain extent.