DocumentCode
2298722
Title
Positive hybrid sampling in wavelet subspaces
Author
Walter, Gilbert G.
Author_Institution
Dept. of Math. Sci., Wisconsin Univ., Milwaukee, WI, USA
Volume
6
fYear
2000
fDate
2000
Firstpage
3858
Abstract
It is well known that the Shannon sampling theorem can be put into a wavelet context. But it has also been shown that for most wavelets, a non-negative summability function for the associated subspaces exists. Translation of these are used in a series with sampling coefficients to get a “hybrid” series each of whose terms is non-negative. Such series converge, avoid integration, and eliminate the Gibbs phenomenon
Keywords
convergence of numerical methods; series (mathematics); signal sampling; wavelet transforms; Shannon sampling theorem; convergence; hybrid series; nonnegative summability function; positive hybrid sampling; sampling coefficients; wavelet subspaces; Convergence; Erbium; Multiresolution analysis; Sampling methods; Virtual manufacturing; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1520-6149
Print_ISBN
0-7803-6293-4
Type
conf
DOI
10.1109/ICASSP.2000.860245
Filename
860245
Link To Document