Abstract
Conditional averaging is one of the standard methods to detect large-scale structures in turbulent flows. By means of synthetic and experimental data it is shown that the usual trigger conditions are not sufficient to obtain reliable structure amplitudes. Our analysis shows that the amplitude reduction is caused by trigger jitter and a finite probability for trigger errors to occur. Using an improved conditional averaging scheme based upon a cross-correlation analysis, the possibility to remove these errors and to obtain correct amplitudes is shown.
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