AUTHORS: Yu. K. Dem’yanovich

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ABSTRACT: Adaptive algorithms of spline-wavelet decomposition in a linear space over metrized field are proposed. The algorithms provide a priori given estimate of the deviation of the main flow from the initial one. Comparative estimates of data of the main flow under different characteristics of the irregularity of the initial flow are done. The limiting characteristics of data, when the initial flow is generated by abstract differentiable functions, are discussed

KEYWORDS: signal processing, main flows, adaptive spline-wavelets, general flows

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