A generalized spectrogram, also called "two-window spectrogram", is a generalized application of spectrograms. In order to view a signal (taken to be a function of time) represented over both time and frequency axes, a time–frequency representation is used. Spectrograms are one of the most popular time-frequency representations.
Definition 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 f in time by multiplying it with translations of a window function w ( t ) {\displaystyle w(t)} . The definition of spectrogram is
S P x , w ( t , f ) = G x , w ( t , f ) G x , w ∗ ( t , f ) = | G x , w ( t , f ) | 2 {\displaystyle S{P_{x,w}}(t,f)={G_{x,w}}(t,f)G_{_{x,w}}^{*}(t,f)=|{G_{x,w}}(t,f)|^{2}} , where G x , w 1 {\displaystyle {G_{x,{w_{1}}}}} denotes the Gabor Transform of x ( t ) {\displaystyle x(t)} . Based on the spectrogram, the generalized spectrogram is defined as:
S P x , w 1 , w 2 ( t , f ) = G x , w 1 ( t , f ) G x , w 2 ∗ ( t , f ) {\displaystyle S{P_{x,{w_{1}},{w_{2}}}}(t,f)={G_{x,{w_{1}}}}(t,f)G_{_{x,{w_{2}}}}^{*}(t,f)} , where:
G x , w 1 ( t , f ) = ∫ − ∞ ∞ w 1 ( t − τ ) x ( τ ) e − j 2 π f τ d τ {\displaystyle {G_{x,{w_{1}}}}\left({t,f}\right)=\int _{-\infty }^{\infty }{{w_{1}}\left({t-\tau }\right)x\left(\tau \right)\,{e^{-j2\pi \,f\,\tau }}d\tau }}
G x , w 2 ( t , f ) = ∫ − ∞ ∞ w 2 ( t − τ ) x ( τ ) e − j 2 π f τ d τ {\displaystyle {G_{x,{w_{2}}}}\left({t,f}\right)=\int _{-\infty }^{\infty }{{w_{2}}\left({t-\tau }\right)x\left(\tau \right)\,{e^{-j2\pi \,f\,\tau }}d\tau }}
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