In order to view a signal (taken to be a function of time) represented over both time and frequency axis, time–frequency representation is used. Spectrogram is one of the most popular time-frequency representation, and generalized spectrogram, also called "two-window spectrogram", is the generalized application of spectrogram.
The definition of the spectrogram relies on the Gabor transform (also called short-time Fourier transform, for short STFT), whose idea is to localize a signal in time by multiplying it with translations of a window function
w(t)
The definition of spectrogram is
S{Px,w
{G | |
x,{w1 |
x(t)
Based on the spectrogram, the generalized spectrogram is defined as:
S{P | |
x,{w1 |
,{w2}}}(t,f)=
{G | |
x,{w1 |
{G | |
x,{w1 |
{G | |
x,{w2 |
For
w1(t)=w2(t)=w(t)
S{Px,w
w1(t)
w2(t)
w1(t)
w1(t)
l{SP} | |
w1,w2 |
(t,f)(x,w)=Wig(w1',w2')*Wig(t,f)(x,w),
where
w1'(s):=w1(-s),w2'(s):=w2(-s)
l{SP} | |
w1,w2 |
(t,f)(x,w)
w1w2'=\delta
where
\delta
l{SP} | |
w1,w2 |
(t,f)(x,w)
w1w2'=\delta
where
\delta
l{SP} | |
w1,w2 |
(t,f)(x,w)
(w1,w2)=1
l{SP} | |
w1,w2 |
(t,f)(x,w)
w1=Cw2
C\in\R