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Transform Definition
Modern Physics
Pure Math
Probability
Classical Physics
Signal Processing
Tip:
The Advanced Format dialog box can be used to configure settings related to the Fourier Transform, such a Fourier
Transform definition, etc. For details, see "Advanced Format Dialog Box" on page 38.
u FFT [Action][Advanced][FFT], IFFT [Action][Advanced][IFFT]
Function: "FFT" is the command for the fast Fourier Transform, and "IFFT" is the command for the inverse fast
Fourier Transform. 2 data values are needed to perform FFT and IFFT. On the ClassPad, FFT and
IFFT are calculated numerically.
Syntax: FFT(list) or FFT(list,
• Data size must be 2 for
• The value for
0 (Signal Processing), 1 (Pure Math), 2 (Data Analysis).
The Fourier Transform is defined as the following:
∞
∫
( ) =
–∞
Some authors (especially physicists) prefer to write the transform in terms of angular frequency ω ≡ 2π
instead of the oscillation frequency .
However, this destroys the symmetry, resulting in the transform pair shown below.
ω
(
) =
To restore the symmetry of the transforms, the convention shown below is sometimes used.
( ) =
[ ( )] =
In general, the Fourier transform pair may be defined using two arbitrary constants
ω
(
) =
Unfortunately, a number of conventions are in widespread use for
modern physics, (1, –1) is used in pure mathematics and systems engineering, (1, 1) is used in probability
theory for the computation of the characteristic function, (–1, 1) is used in classical physics, and (0, –2π) is
used in signal processing.
Tip:
The Advanced Format dialog box can be used to configure Fast Fourier Transform settings. For details, see
"Advanced Format Dialog Box" on page 38.
)
IFFT(list) or IFFT(list,
= 1, 2, 3, ...
is optional. It can be from 0 to 2, indicating the FFT parameter to use:
π
2
( )
∞
∫
ω
–
( )
[ ( )] =
–∞
∞
1
∫
–
( )
π
2
–∞
⏐ ⏐
∞
∫
( )
π
1–
(2
)
–∞
n
(optional)
0
1
2
3
4
)
∞
∫
( ) =
–∞
–1
( ) =
–1
( ) =
ω
( ) =
a
0
1
1
–1
0
π
–2
( )
∞
1
∫
ω
[ (
)] =
π
2
–∞
∞
1
∫
[ ( )] =
( )
π
–∞
2
and
⏐ ⏐
∞
∫
ω
–
(
)
π
1+
(2
)
–∞
and . For example, (0, 1) is used in
Chapter 2: Main Application
b
1
–1
1
1
–2*π
ω
ω
ω
(
)
as shown below.
ω
ω
64
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