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Short-time Fourier transform
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=== Continuous-time STFT === Given the width and definition of the window function ''w''(''t''), we initially require the area of the window function to be scaled so that :<math> \int_{-\infty}^{\infty} w(\tau) \, d\tau = 1.</math> It easily follows that :<math> \int_{-\infty}^{\infty} w(t-\tau) \, d\tau = 1 \quad \forall \ t </math> and :<math> x(t) = x(t) \int_{-\infty}^{\infty} w(t-\tau) \, d\tau = \int_{-\infty}^{\infty} x(t) w(t-\tau) \, d\tau. </math> The continuous Fourier transform is :<math> X(\omega) = \int_{-\infty}^{\infty} x(t) e^{-i \omega t} \, dt. </math> Substituting ''x''(''t'') from above: :<math> X(\omega) = \int_{-\infty}^{\infty} \left[ \int_{-\infty}^{\infty} x(t) w(t-\tau) \, d\tau \right] \, e^{-i \omega t} \, dt </math> :::<math> = \int_{-\infty}^{\infty} \int_{-\infty}^{\infty} x(t) w(t-\tau) \, e^{-i \omega t} \, d\tau \, dt. </math> Swapping order of integration: :<math> X(\omega) = \int_{-\infty}^{\infty} \int_{-\infty}^{\infty} x(t) w(t-\tau) \, e^{-i \omega t} \, dt \, d\tau </math> :::<math> = \int_{-\infty}^{\infty} \left[ \int_{-\infty}^{\infty} x(t) w(t-\tau) \, e^{-i \omega t} \, dt \right] \, d\tau </math> :::<math> = \int_{-\infty}^{\infty} X(\tau, \omega) \, d\tau. </math> So the Fourier transform can be seen as a sort of phase coherent sum of all of the STFTs of ''x''(''t''). Since the inverse Fourier transform is :<math> x(t) = \frac{1}{2 \pi} \int_{-\infty}^{\infty} X(\omega) e^{+i \omega t} \, d\omega, </math> then ''x''(''t'') can be recovered from ''X''(Ο,Ο) as :<math> x(t) = \frac{1}{2 \pi} \int_{-\infty}^{\infty} \int_{-\infty}^{\infty} X(\tau, \omega) e^{+i \omega t} \, d\tau \, d\omega. </math> or :<math> x(t) = \int_{-\infty}^{\infty} \left[ \frac{1}{2 \pi} \int_{-\infty}^{\infty} X(\tau, \omega) e^{+i \omega t} \, d\omega \right] \, d\tau. </math> It can be seen, comparing to above that windowed "grain" or "wavelet" of ''x''(''t'') is :<math> x(t) w(t-\tau) = \frac{1}{2 \pi} \int_{-\infty}^{\infty} X(\tau, \omega) e^{+i \omega t} \, d\omega. </math> the inverse Fourier transform of ''X''(Ο,Ο) for Ο fixed. An alternative definition that is valid only in the vicinity of Ο, the inverse transform is: :<math>x(t) = \frac{1}{w(t-\tau)}\frac{1}{2 \pi} \int_{-\infty}^{\infty} X(\tau, \omega) e^{+i \omega t} \, d\omega.</math> In general, the window function <math>w(t)</math> has the following properties: :(a) even symmetry: <math>w(t) = w(-t)</math>;<br /> :(b) non-increasing (for positive time): <math>w(t) \geq w(s)</math> if <math>|t| \leq |s|</math>;<br /> :(c) compact support: <math>w(t)</math> is equal to zero when |t| is large.
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