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BSA Flow Software Installation and User's Guide - CSI

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this approach is referred to as blocking, <strong>and</strong> the accuracy of the final<br />

autocorrelation function increases with the number of blocks.<br />

The duration Tb of each block equals the desired maximum lag-time τmax,<br />

<strong>and</strong> consequently the number of blocks Nb can be determined from the total<br />

duration Ttot of the experiment:<br />

Tb = τmax N b ≤ Ttot / τmax<br />

-where Nb is rounded to the nearest lower integer value.<br />

To get as many blocks as possible within the limited duration of the<br />

experiment, short blocks are desirable, but there is a lower limit.<br />

First of all each block must contain a reasonable amount of raw data in order<br />

to get meaningful results: It is thus required that each block contain at least<br />

16 raw samples. Normally the number of blocks included in the calculation<br />

will increase as the maximum lag-time decreases, but since blocks including<br />

less than 16 raw samples are excluded, the total number of blocks will<br />

decrease, when you approach this limit.<br />

Furthermore you must be aware that within each block only very limited<br />

information is available regarding the larger lag-times; -In fact only a single<br />

sample pair (the very first <strong>and</strong> the very last sample) truly provides<br />

information regarding correlation at the desired maximum lag-time.<br />

Consequently you should always select a maximum time-lag considerably<br />

larger than the highest lag-time of any real interest:<br />

To get reasonable results in turbulent flows the maximum lag-time should<br />

thus be at least 10 times the integral time-scale τI, <strong>and</strong> preferably even<br />

higher; A maximum time-lag of 50 or even a 100 times τI is not excessive,<br />

provided it does not reduce the number of blocks too much.<br />

Similarly the maximum time-lag should be at least 10 times the period if you<br />

wish to estimate the autocorrelation of a cyclic flow.<br />

Please be aware that the correlation is actually calculated as the inverse<br />

Fourier transform of a spectrum estimate, which in turn has been calculated<br />

using the FFT-techniques described in section 0.<br />

Consequently aliasing may distort correlation-estimates if the flow contains<br />

significant turbulent energy above the resampling frequency; Prior to FFT<br />

the raw data is resampled with a resampling frequency determined from the<br />

desired number of correlation estimates, <strong>and</strong> the desired maximum lag-time:<br />

f<br />

res<br />

N est 1<br />

= =<br />

τ ∆ τ<br />

max<br />

-where fres is the resampling frequency, Nest is the number of correlation<br />

estimates, τmax is the desired maximum lag-time, <strong>and</strong> ∆τ is the lag-time<br />

resolution achieved. In other words aliasing may distort the estimated<br />

autocorrelation function if the lag-time resolution is too coarse.<br />

Note: In order to avoid aliasing the maximum lag-time can in principle be reduced<br />

<strong>and</strong>/or the number of correlation estimates increased to produce arbitrarily<br />

high resampling frequencies. You should be aware however that apart from<br />

an increase in the calculation time a resampling frequency significantly<br />

above the mean datarate of the raw samples has almost no effect on the<br />

correlation estimate as shown in Figure 6-63.<br />

6-66 <strong>BSA</strong> <strong>Flow</strong> <strong>Software</strong>: Options <strong>and</strong> Add-ons

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