Properties of the Fourier transform and
some useful transform pairs are provided in this table.
Especially important among these properties is
Parseval's Theorem, which states that power
computed in either domain equals the power in the other.
∫−∞∞s2td
t
=∫−∞∞|Sf|2d
f
t
s
t
2
f
S
f
2
(1)
Of practical importance is the conjugate symmetry property: When
st
s
t
is real-valued, the spectrum at negative frequencies equals
the complex conjugate of the spectrum at the corresponding
positive frequencies. Consequently, we need only plot the
positive frequency portion of the spectrum (we can easily
determine the remainder of the spectrum).
How many Fourier transform operations need to be applied to
get the original signal back:
ℱ⋯ℱs=st
ℱ
⋯
ℱ
s
s
t
?
ℱℱℱℱst=st
ℱ
ℱ
ℱ
ℱ
s
t
s
t
. We know that
ℱSf=∫−∞∞Sfe−(i2πft)d
f
=∫−∞∞Sfei2πf(−t)¯d
f
=s−t
ℱ
S
f
f
S
f
2
f
t
f
S
f
2
f
t
s
t
Therefore, two Fourier transforms applied to
st
s
t
yields
s−t
s
t
. We need two more to get us back where we started.