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4.Advanced User Guidebook
23
FFT function in this oscilloscope transforms 8192 data points of the time-domain signal
into its frequency components mathematically (the record length should be 10K or above).
The final frequency contains 4096 points ranging from 0Hz to Nyquist frequency.
Taking the FFT operation for example, the operation steps are as follows:
1. Press the Math button to display the math menu in the bottom.
2. Select FFT in the bottom menu.
3. In the right menu, select Source as CH1.
4. In the right menu, select Window. In the left menu, turn the M knob to select the
proper window type.
5. In the right menu, select Format. In the left menu, turn the M knob to select
amplitude unit (V RMS, Decibels) or phase unit (Radian, Degrees).
6. Select Hori (Hz) in the right menu; select repeatedly to make the symbol in front
of the horizontal position value (the upper one), turn the M knob to adjust the
horizontal position of FFT waveform; then select to make the symbol in front of
the time base value below, turn the M knob to adjust the time base of FFT waveform.
7. Select Vertical in the right menu; do the same operations as above to set the vertical
position and vertical division.
To select the FFT window
■ There are 6 FFT windows. Each one has trade-offs between frequency resolution and
magnitude accuracy. What you want to measure and your source signal characteristics
help you to determine which window to use. Use the following guidelines to select the
best window.
Type Characteristics Window
Hamming
Better solution for magnitude than Rectangle, and
good for frequency as well.
It has slightly better
frequency resolution than Hanning.
Recommend to use for:
Sine, periodic and narrow band random noise.
Transients or bursts where the signal levels
before and after the event are significantly
different.
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