10. 10Appendix - 10.4. FFT Analysis
130
1WMPD4004444
10.4. FFT Analysis
10.4.1. Analysis Function
Time Scale Waveform (One Signal Analysis)
The time domain waveform of the input signal.
Linear Spectrum (One Signal Analysis)
Each frequency component G of the linear spectrum is defined as G = R + jI (with R being the real
number part and I being the imaginary number part).
The frequency domain waveform of the input signal enables the amplitude and phase of each frequency
component to be understood.
R and I are the result of multiplying the window function peak compensation coefficient k.
∑
−
=
=
1
0
)
(
k
N
i
i
W
N
N
: Sampling points;
W
(
i
)
: Window function
Real number part
Lin-Rel
R
Imaginary number part
Lin-Img
I
Amplitude
Lin-Amp
�
(R
2
+ I
2
)
Logarithmic amplitude
Log-Amp
20 × log
�
(R
2
+ I
2
)
Phase
Phase
tan
−1
(I/R)
RMS Spectrum (One Signal Analysis)
The frequency domain waveform of the input signal enables the amplitude (effective value) and phase
to be understood.
R and I are the result of multiplying the window function peak compensation coefficient k.
∑
−
=
=
1
0
)
(
k
N
i
i
W
N
N
: Sampling points;
W
(
i
)
: Window function
Real number part
Lin-Rel
R/
√
2
Imaginary number part
Lin-Img
I/
√
2
Amplitude
Lin-Amp
�
(R
2
+ I
2
)/
√
2
Logarithmic amplitude
Log-Amp
20 × log(
�
(R
2
+ I
2
)/
√
2)
Phase
Phase
tan
−1
(I/R)
Power Spectrum (One Signal Analysis)
Indicates the power (squared value) of the input signal to understand the amplitude information only.
R and I are the result of multiplying the window function peak compensation coefficient k.
Summary of Contents for RA3100 Omniace
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