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BSA Flow Software Installation and User's Guide - CSI

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10 -2<br />

10 -3<br />

10 -4<br />

10 -5<br />

10 -6<br />

10 1<br />

Power spectrum decays with<br />

f -2 above cut-off frequency<br />

10 2<br />

10 3<br />

Frequency [Hz]<br />

n& 2π≅15 . kHz n& ≅ 92 . kHz<br />

Approaching max frequency the estimated<br />

power spectrum flattens due to aliasing<br />

Figure 6-52 The 'Sample-<strong>and</strong>-hold' technique act as a low-pass-filter attenuating the spectrum.<br />

If you are investigating turbulence this presents a pitfall, since the decay of<br />

spectral power with f -2 can easily be confused with the inertial subrange,<br />

which according to the Kolmogorov spectrum law decays with f -5/3 .<br />

In this case you must carefully check your datarate to verify that the spectral<br />

decay found does indeed represent the physics of your flow, rather than<br />

particle rate filtering of the true velocities.<br />

Investigating peaks in the power spectrum is not affected quite as much by<br />

the particle rate filter: Although the peak value will be reduced above the<br />

cut-off frequency, so will spectral values at neighbouring frequencies, <strong>and</strong><br />

the peak itself is still easily recognised as seen in Figure 6-52, showing a<br />

peak at about 2.3 kHz. Above all, the frequency at which the peak occurs is<br />

not affected by the particle rate filter at all.<br />

The problem of particle rate filtering stems from the fact that LDA as such<br />

yield r<strong>and</strong>om velocity-samples instead of a continuous signal, <strong>and</strong><br />

consequently the problem cannot be avoided. With a sufficiently high<br />

datarate the problem will however be small, <strong>and</strong> you should thus always aim<br />

at the highest possible datarate in your experiment.<br />

Aliasing Finally the effect of aliasing can be seen clearly in Figure 6-52: Energy<br />

contained at frequencies above the maximum frequency is aliased into the<br />

range investigated, causing the estimated spectrum to flatten out as it<br />

approaches the maximum frequency selected. In this particular example only<br />

very little energy was present above the maximum frequency, <strong>and</strong> below<br />

approximately 20 kHz aliasing can thus be ignored completely.<br />

Noise floor The effect of aliasing described above can easily be confused with the noise<br />

floor of your measurement, but the true noise floor will itself be damped by<br />

the particle rate filter, <strong>and</strong> consequently may not be recognised at all.<br />

A suspected noise floor must thus be verified by checking the datarate.<br />

6-54 <strong>BSA</strong> <strong>Flow</strong> <strong>Software</strong>: Options <strong>and</strong> Add-ons<br />

10 4<br />

10 5

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