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Gaussian Windowed Chirps

The Fourier transform of a complex Gaussian pulse is derived in §C.7 of Appendix C:

$\displaystyle \zbox {e^{-pt^2} \;\longleftrightarrow\;\sqrt{\frac{\pi}{p}} e^{-...
...ga^2}{4p}},\quad \forall p\in {\bf C}: \; \mbox{re}\left\{p\right\}>0} \protect$ (10.9)

This result is valid when $ p$ is complex. Writing $ p$ in terms of real variables $ \alpha $ and $ \beta $ as

$\displaystyle p = \alpha - j\beta,
$

we have

$\displaystyle x(t) = e^{-p t^2} = e^{-\alpha t^2} e^{j\beta t^2}
= e^{-\alpha t^2} \left[\cos(\beta t^2) + j\sin(\beta t^2)\right]
$

That is, for $ p$ complex, $ x(t)$ is a Gaussian-windowed chirp. We see that the chirp oscillation frequency is zero at time $ t=0$ . Therefore, for signal modeling applications, we typically add in an arbitrary frequency offset at time 0, as described in the next section.



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[How to cite this work] [Order a printed hardcopy]

``Spectral Audio Signal Processing'', by Julius O. Smith III, (August 2008 Draft).
Copyright © 2008-08-13 by Julius O. Smith III
Center for Computer Research in Music and Acoustics (CCRMA),   Stanford University
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