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[Tftb-help] analytic signal and wish list
From: |
Eric Chassande-Mottin |
Subject: |
[Tftb-help] analytic signal and wish list |
Date: |
Fri, 9 Jun 2006 14:56:41 +0200 (CEST) |
Often the message "Be careful: the signal is not analytic!"
appears even during the demos. What is the reason for this
warning in tfrqview.m?
this warning is related to what's explained on this page of the tutorial:
http://gdr-isis.org/tftb/tutorial/node44.html
the TFTB computes discrete time and discrete frequency TFRs. this raises
the question of the sampling of the time-frequency plane and consequently
of the aliasing of the TFRs. to avoid aliasing terms, several TFRs (for
instance, the Wigner-Ville distribution) require specific condition on the
input signal, namely it should be a _half-band signal_ (with Fourier
spectrum occupying only a width equal to 1/2 expressed in reduced
frequency unit). if your signal is not half-band, it can be transformed
into a half-band signal with no loss of information by using its analytic
version or by resampling it at twice the Nyquist rate.
the TFTB favors the first solution (analytic). the warning just warns you
that the input signal is not analytic and that the TFR you're computing
is possibly (but not necessarily!) affected by aliasing. note that this
warning comes only when needed (i.e., when the chosen TFR has the above
mentioned requirement).
Does that mean the Hilbert transform of the signal has to be computed
before doing the analysis?
it is just a warning. if you know the spectral contents of your signal and
what you are doing, you can ignore it. it is usually safer to compute the
TFR with the analytic signal since you can be misled by folded aliasing
terms.
This things are missing:
1) a numerical scale along the colorbar which would give an idea
of the amplitude attached to a given color
2) Error bars and et confidence intervals
i agree with the first wish. we'll see how to do that. suggestion and
patches are welcome.
error bars over TFRs: the second one is much more difficult since error
bars are generally closely related to assumptions on the considered
signal.
eric.
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