Measures in wavelet decompositions

Mathematics – Classical Analysis and ODEs

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

31 pages, 2 figures containing 3 EPS graphics; LaTeX2e ("elsart" document class). In v3, a remark and a citation were added in

Scientific paper

10.1016/j.aam.2004.11.002

In applications, choices of orthonormal bases in Hilbert space H may come about from the simultaneous diagonalization of some specific abelian algebra of operators. It was noticed recently that there is a certain finite set of non-commuting operators F_i, first introduced by engineers in signal processing, which helps to clarify this connection, and at the same time throws light on decomposition possibilities for wavelet packets used in pyramid algorithms. While the operators F_i were originally intended for quadrature mirror filters of signals, recent papers have shown that they are ubiquitous in a variety of modern wavelet constructions, and in particular in the selection of wavelet packets from libraries of bases. These are constructions which make a selection of a basis with the best frequency concentration in signal or data-compression problems. While the algebra A generated by the F_i-system is non-abelian, and goes under the name "Cuntz algebra" in C*-algebra theory, each of its representations contains a canonical maximal abelian subalgebra, i.e., the subalgebra is some C(X) for a Gelfand space X. A given representation of A, restricted to C(X), naturally induces a projection-valued measure on X, and each vector in H induces a scalar-valued measure on X. We prove a structure theorem for certain classes of induced scalar measures. In the applications, X may be the unit interval, or a Cantor set; or it may be an affine fractal, or even one of the more general iteration limits involving iterated function systems consisting of conformal maps.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Measures in wavelet decompositions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Measures in wavelet decompositions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Measures in wavelet decompositions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-546695

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.