The Continuous-Time Impulse
Fourier Transform (FT) and Inverse
Fourier Transform (FT) and Inverse
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Conditions for the existence of the Fourier transform are
complicated to state in general [10], but it is sufficient
for
to be absolutely integrable, i.e.,
This requirement can be stated as
, meaning that
belongs to the set of all signals having a finite
norm
(
). It is similarly sufficient for
to be
square integrable, i.e.,
or,
. More generally, it suffices to show
for
[10, p. 47].
There is never a question of existence, of course, for Fourier
transforms of real-world signals encountered in practice. However,
idealized signals, such as sinusoids that go on forever in
time, do pose normalization difficulties. In practical engineering
analysis, these difficulties are resolved using Dirac's ``generalized
functions'' such as the impulse (also called the
delta function) [32].
The Continuous-Time Impulse
Fourier Transform (FT) and Inverse
Fourier Transform (FT) and Inverse
Contents
Global Contents
Global Index
  Index
  Search
``Mathematics of the Discrete Fourier Transform (DFT)'',
by Julius O. Smith III,
W3K Publishing, 2003, ISBN 0-9745607-0-7.
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Copyright © 2003-10-09 by Julius O. Smith III
Center for Computer Research in Music and Acoustics (CCRMA),
Stanford University
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