WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 14, 2018
Adaptive Decompositions of General Flows and their Applications
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Abstract: Adaptive algorithms of spline-wavelet decomposition in a linear space over metrized fields 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. The constructions of adaptive grid and pseudo-equidistant grid and relative quantity of their knots are considered, flows of elements of linear normed spaces and formulas of decomposition and reconstruction are discussed. Wavelet decomposition of the flows is obtained with using of spline-wavelet decomposition. Sufficient condition of the construction is obtained. Applications to different spaces of matrix of fixed order and to spaces of infinite-dimension vectors with numerical elements (rational, real, complex and p-adic elements) are considered.
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Pages: 130-140
WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 14, 2018, Art. #17