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BSA Flow Software Installation and User's Guide - CSI

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Aliasing<br />

30%<br />

20%<br />

10%<br />

0%<br />

Loss of information due to resampling<br />

1 2 3 4 5 6 7 8 9 10<br />

Resampling rate expressed as "... times the average datarate of the original dataset"<br />

Figure 7-84 : Several particle arrivals between two resamples will cause<br />

loss of information, since only the last particle is recorded.<br />

Figure 7-84 shows the likelihood of having more than one true sample in the<br />

time between two resamples. Increasing the resampling frequency, will<br />

reduce the width of each time-slot, <strong>and</strong> obviously reduce the risk of having<br />

more than one true sample in it. Unfortunately it also increases the<br />

probability of no true samples at all (not shown), <strong>and</strong> furthermore increase<br />

the total amount of data, requiring additional storage capacity <strong>and</strong> increased<br />

calculation time. Please note that due to the r<strong>and</strong>om nature of particle<br />

arrivals, you can never completely avoid loss of data: Even with a<br />

resampling rate of 10 times the average data rate, approximately 0.5% of the<br />

time-slots will contain two (or more) true samples of which all but the last<br />

one will be lost. At the same time the total amount of data will have<br />

increased tenfold, but approximately 90,5% of these new samples will be<br />

identical to the previous one, since no particles have arrived in the meantime<br />

to provide new information on the flow investigated.<br />

Aliasing is a problem in any periodic sampling procedure: If an oscillating<br />

signal is sampled less than twice per cycle, it will produce the same samples<br />

as an artificial (aliased) signal with lower frequency.<br />

Knowing only the sample-values, later analysis will be unable to distinguish<br />

between the true <strong>and</strong> the aliased signal, <strong>and</strong> consequently the high frequency<br />

signal will contribute to the calculations as if the frequency was actually<br />

lower.<br />

The phenomenon is illustrated in Figure 7-85, where the true signal is<br />

sampled 1.6 times per cycle.<br />

True Sample<br />

Aliased signal<br />

Figure 7-85: Sampling less than twice per cycle cause aliasing.<br />

Nyquist criterion For any sampling interval ∆t there is a special frequency fc, known as the<br />

Nyquist critical frequency, given by:<br />

7-128 <strong>BSA</strong> <strong>Flow</strong> <strong>Software</strong>: Reference guide

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