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Shift Theorem

The shift theorem for Fourier transforms states that delaying a signal $ x(t)$ by $ \tau$ seconds multiplies its Fourier transform by $ e^{-j\omega\tau}$.



Proof:

\begin{eqnarray*}
\hbox{\sc FT}_\omega(\hbox{\sc Shift}_\tau(x)) &\isdef &
\int...
...{-j\omega \sigma}d\sigma\\
&\isdef & e^{-j\omega \tau}X(\omega)
\end{eqnarray*}

Thus,

$\displaystyle \zbox {x(t-\tau)\longleftrightarrow e^{-j\omega \tau}X(\omega).}$ (3.3)

For the inverse Fourier transform, we have

\begin{eqnarray*}
\hbox{\sc IFT}_\omega(\hbox{\sc Shift}_\nu(X)) &\isdef &
\fra...
...nfty X(\sigma) e^{j\sigma t}d\sigma\\
&\isdef & e^{j\nu t} x(t)
\end{eqnarray*}

or,

$\displaystyle \zbox {e^{j\nu t} x(t) \longleftrightarrow X(\omega-\nu).}$ (3.4)


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``Spectral Audio Signal Processing'', by Julius O. Smith III, (March 2007 Draft).
Copyright © 2008-05-20 by Julius O. Smith III
Center for Computer Research in Music and Acoustics (CCRMA),   Stanford University
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