About FFT windows
The FFT algorithm applies a ‘window’ process to the source waveform record to
‘shape’ the record so that the start and stop values for the FFT waveform are
close to the same amplitude. Starting and stopping the waveform at close to the
same amplitude reduces adding artificial waveform that are not present in the
actual signal. Using a window on the source signal results in an FFT waveform
that more accurately represents the source signal frequency components.
The different window shapes are trade-offs between frequency accuracy and
magnitude accuracy. What you want to measure, and your source signal
characteristics, help you to select which window to use. Use the following
guidelines to select the best window for your signal analysis needs. The Hanning
window is a good starting point for FFT measurements.
Analyzing a waveform
TBS1000C Series Oscilloscopes User Manual 115
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