
RIGOL
Using the FFT
The FFT (fast fourier tranform) process mathematically converts a time-domain
signal into its frequency components. FFT waveforms are useful in the following
applications:
•
Measuring harmonic content and distortion in systems
•
Characterizing noise in DC power supplies
•
Analyzing vibration
Figure 2-14
Table2-6
Menu
Settings
Comments
Operation
A+B
A- B
AxB
A÷B
FFT
Add source A to source B
Subtract source B from source A
Multiply source B by source A
Source A divided by source B
Fast Fourier Transform
Source
CH1
CH2
Define CH1 or CH2 as FFT source
Window
Rectangle
Hanning
Hamming
Blackman
Select window for FFT
Display
Split
Full screen
Display FFT waveform on half screen
Display FFT waveform on full screen
Scale
Vrms
dBVrms
Set “Vrms ” as vertical unit
Set “dBVrms ” as vertical unit
Key points for FFT
1 Signals that have a DC component or offset can cause incorrect FFT
waveform component magnitude values. To minimize the DC component,
choose AC Coupling on the source signal.
2 To reduce random noise and aliases components in repetitive or
single-shot events, set the oscilloscope acquisition mode to average.
3 To display FFT waveforms with a large dynamic range, use the dBVrms
scale. The dBVrms scale displays component magnitudes using a log
scale.
Copyright 2004 Rigol Electronic
2-12
User Manual for DS5000 Series