Data Science, Python, Neuroscience, Signal Processing, Math.
considered. From a signal-processing perspective, ensemble averaging has many advantages in enhancing the signal data. These advantages can be concluded as follows: Ensemble averaging is useful for filtering random noise in the signals [2]. Applying the ensemble averaging method improves the Signal