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In the Forum: Audio Discussions
In the Thread: Measuring reality: empirical mode decomposition
Post Subject: Sensitivity to realityPosted by decoud on: 3/4/2008
I suspect wavelets would be much better than a fourier transform and rather less good than emd. The reason is that since we do not know what features of the signal are decisive in perceiving it as real, a signal-adaptive technique such as emd is more likely to capture them than a decomposition based on a set of arbitrarily chosen functions such as wavelet analysis. The beauty of emd is that the decomposition is determined by the signal itself and so is highly efficient at extracting its essential features.
Of course, I have no idea how it would work out in practice: my only experience of these things is in analysing neurophysiological signals, but it is not a wholly dissimilar situation in that we generally have no idea about the relation between the signal and what actually goes on in the subject's brain.
Best, D
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