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Holo-Hilbert spectral analysis

Paper: DOI: 10.1098/rsta.2015.0206

How to use

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We have two signals one is sine wave, another just white noise.
We can add them together or multiply them.

After addition we can still see sine wave, but after multiplication it's not so clear but we still can guess sine pattern.

We can see how the Fourier transform (FFT) to cope with the transformation of these signals. We will use power spectral density (PSD) for it, computation of PSD is done directly by FFT. PSD shows at which frequencies variations are strong and at which frequencies variations are weak.
We can clearly see sine wave for additive signal, but for multiplicative original sine wave complitly gone.

Requirements

  • numpy
  • scipy

TODO

  • Figure out the Figure4b (HSA)
  • Figure out FM/AM and something, Figure6c
  • EMD (paper)

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Trying to implement Holo-Hilbert spectral analysis

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