Precision analysis of wavelet processing of aerodynamic flow patterns

This paper is devoted to a new method of aerodynamic flow pattern processing based on the wavelet analysis. Wavelet thresholding techniques are widely used in signal and image processing. These methods are easily implemented through fast algorithms; so, they are very appealing in practical situations. Besides, they adapt to function classes with different amounts of smoothness in different locations more effectively than the usual linear methods. Wavelet thresholding risk analysis is an important practical task, because it allows determining the quality of the techniques themselves and the equipment which is being used. Comparative analysis using the discriminant method was carried out to verify the new method. The empirical estimated error of processing is consistent with theoretical results for this estimate.