The parametric wavelet maxima representation

Author

Berman, Zeev ; Baras, John S. ; Berenstein, Carlos

Author_Institution

Syst. Res. Center, Maryland Univ., College Park, MD, USA

fYear

1992

Firstpage

59

Lastpage

62

Abstract

A general signal description, called an inherently bounded adaptive quasi linear representation (AQLR), motivated by the wavelet maxima representation and the wavelet zero-crossings representation, is introduced. A reconstruction scheme based on the minimization of an appropriate cost function is presented. The convergence of two algorithms described herein is guaranteed for all inherently bounded AQLR. Possible modifications in the basic multiscale maxima representations are described

Keywords

signal processing; signal synthesis; wavelet transforms; adaptive quasilinear representation; algorithms; convergence; cost function; inherently bounded AQLR; minimization; multiscale maxima representations; parametric wavelet maxima representation; reconstruction method; signal description; wavelet zero-crossings representation; Calculus; Convergence; Cost function; Discrete wavelet transforms; Educational institutions; Image edge detection; Image reconstruction; Signal detection; Stability; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium

Conference_Location

Victoria, BC

Print_ISBN

0-7803-0805-0

Type

conf

DOI

10.1109/TFTSA.1992.274234

Filename

274234