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.

Original languageEnglish
Pages (from-to)28-34
Number of pages7
JournalWSEAS Transactions on Mathematics
Volume17
StatePublished - 1 Jan 2018

    Research areas

  • Adaptive spline-wavelets, General flows, Main flows, signal processing

    Scopus subject areas

  • Algebra and Number Theory
  • Endocrinology, Diabetes and Metabolism
  • Statistics and Probability
  • Discrete Mathematics and Combinatorics
  • Management Science and Operations Research
  • Control and Optimization
  • Computational Mathematics
  • Applied Mathematics

ID: 35268184