How to 'whiten' a time domain signal?

1. How do you whiten a spectrum?
2. What is whitening of a signal?
3. Why do we whiten signals?
4. What does a whitening filter do?

How do you whiten a spectrum?

The commonest form of spectral whitening is to split the dataset into several narrow frequency bands by bandpass filtering, equalising the sections by AGC (or some other scaling function) and add the resulting sections together.

What is whitening of a signal?

The whitening process is often used for ambient vibration data before stacking waveforms for cross-correlation. The process is simple as Fourier transforming the signal after applying Hann window, then normalizing its magnitude, and then inverse Fourier transforming it.

Why do we whiten signals?

Whitening and de-emphasis enhance the quality of the speech signal. This module is especially useful if constant "whistling" is present in the recording. The algorithm starts with finding the part of the recording that contains only noise and no speech signal.

What does a whitening filter do?

Whitening filters are widely used across the spectrum of fields for signal whitening or noise pre-whitening where the data is modelled as a random vector or as a wide-sense stationary (WSS) process.