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Update Required
To play the media you will need to either update your browser to a recent version or update your
Flash plugin.
The example shows:
Above, from left to right:
-the wavelets (vectors u, Filtering by singular value decomposition SVD) of the first 10 eigensections (numbered from 0 to 9),
-the eigenvalues of the first 10 eigensections (numbered from 0 to 9).
Below, from left to right:
- the amplitudes (vectors v, Filtering by singular value decomposition SVD) of the first N eigensections,
- the initial data,
- the down-going waves obtained from the sum of the first N eigensections,
- the up-going waves obtained from the difference between the initial data and the down-going waves.
It is possible to choose N (Number of stacked eigensections).
The sections which show changes of sign of the amplitude are not physically interpretable.
The signal part associated with the down-going wavefield is the first eigensection only if these waves were previously perfectly aligned. The complimentary part (the noise section) contains the up-going waves and the noise.
