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Proceedings Paper

Self-similar pyramidal structures and signal reconstruction
Author(s): John J. Benedetto; Manuel Leon; Sandra Saliani
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Paper Abstract

Pyramidal structures are defined which are locally a combination of low and highpass filtering. The structures are analogous to but different from wavelet packet structures. In particular, new frequency decompositions are obtained; and these decompositions can be parameterized to establish a correspondence with a large class of Cantor sets. Further correspondences are then established to relate such frequency decompositions with more general self- similarities. The role of the filters in defining these pyramidal structures gives rise to signal reconstruction algorithms, and these, in turn, are used in the analysis of speech data.

Paper Details

Date Published: 26 March 1998
PDF: 11 pages
Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); doi: 10.1117/12.304881
Show Author Affiliations
John J. Benedetto, Univ. of Maryland/College Park (United States)
Manuel Leon, Univ. of Maryland/College Park (United States)
Sandra Saliani, Univ. of Potenza (Italy)

Published in SPIE Proceedings Vol. 3391:
Wavelet Applications V
Harold H. Szu, Editor(s)

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