DocumentCode
1993569
Title
Compact functions and the Frazier-Jawerth transform
Author
Fuhrmann, Daniel R. ; Kumar, Arun ; Cox, Jerome R.
Author_Institution
Washington Univ., St. Louis, MO, USA
fYear
1989
fDate
6-8 Sep 1989
Firstpage
111
Lastpage
112
Abstract
Summary form only given. The Frazier-Jawerth transform (FJT), originally the phi-transform, is similar to the wavelet transform and is distinguished by the fact that the analyzing functions form an overcomplete basis for he signal space and may be nonorthogonal. This added flexibility makes possible the definition of optimal analyzing functions, which are the focus of this study. For continuous-time and infinite discrete-time signals, the optimally localized functions are the prolate spheroidal wave functions and their discrete versions. For finite discrete-time signals and images, generalizations of these functions that are applicable for use in the FJT have been identified by the authors
Keywords
functional equations; signal processing; transforms; wave equations; Frazier-Jawerth transform; bandlimited vector; compact functions; continuous time signals; eigenvectors; finite discrete time images; finite discrete-time signals; infinite discrete-time signals; localized functions; optimal analyzing functions; phi-transform; prolate spheroidal wave functions; signal processing; signal space; time limited vector; wavelet transform; Computer science; Focusing; Frequency domain analysis; Signal analysis; Signal processing; Time frequency analysis; Uncertainty; Wave functions; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Multidimensional Signal Processing Workshop, 1989., Sixth
Conference_Location
Pacific Grove, CA
Type
conf
DOI
10.1109/MDSP.1989.97063
Filename
97063
Link To Document