How to add noise to a signal using NumPy in Python

Adding noise to a signal in Python results in a new signal made by combining small random variations with the original signal.

Solution for How to add noise to a signal using NumPy in Python : You can use numpy.random.normal() to add noise to an signal Represent the original signal as a numpy array. Call numpy.random.normal(m, s, shape), where m is the mean, s is the standard deviation, and shape is the shape of the original signal, original.shape, to return a normally-distributed three-dimensional array. Use the addition syntax original + noise, where original is the original signal, and noise is the array from the previous step, to return a noisy signal.


how-to-add-noise-to-a-signal-using-numpy-in-python