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A class of sparse unimodular matrices generating multiresolution and sampling analysis for data of any length. (English) Zbl 1156.94315

Summary: We introduce a class of sparse unimodular matrices \(U^m\) of order \(m \times m, m = 2,3, \cdots\,\). Each matrix \(U^m\) has all entries 0 except for a small number of entries 1. The construction of \(U^m\) is achieved by iteration, determined by the prime factorization of a positive integer \(m\) and by new dilation operators and block matrix operators. The iteration above gives rise to a multiresolution analysis of the space \(V_m\) of all \(m\)-periodic complex-valued sequences, suitable to reveal information at different scales and providing sampling formulas on the multiresolution subspaces of \(V_m\). We prove that the matrices \(U^m\) are invertible, and we present a recursion equation to compute the inverse matrices. Finally, we connect the transform induced by the matrix \(U^m\) with the underlying natural tree structure and random walks on trees.

MSC:

94A20 Sampling theory in information and communication theory
65F10 Iterative numerical methods for linear systems
65F30 Other matrix algorithms (MSC2010)
15A09 Theory of matrix inversion and generalized inverses
68P20 Information storage and retrieval of data