Datasheet

23
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.
Rectangle
Best solution for frequency, worst for magnitude.
Best type for measuring the frequency spectrum of
nonrepetitive signals and measuring frequency
components near DC.
Recommend to use for:
 Transients or bursts, the signal level before and
after the event are nearly equal.
 Equal-amplitude sine waves with frequencies those
are very close.
 Broadband random noise with a relatively slow
varying spectrum.
Blackman
Best solution for magnitude, worst for frequency.
Recommend to use for:
 Single frequency waveforms, to find higher order
harmonics.
Hanning
Good for magnitude, but poorer frequency resolution
than Hamming.
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.
Kaiser
The frequency resolution when using the Kaiser window
is fair; the spectral leakage and amplitude accuracy are
both good.
The Kaiser window is best used when frequencies are
very close to the same value but have widely differing
amplitudes (the side lobe level and shape factor are
closest to the traditional Gaussian RBW). This window is
also good for random signals.
Bartlett
The Bartlett window is a slightly narrower variant of the
triangular window, with zero weight at both ends.