The Wavelet Transform, Time-Frequency Localization and Signal Analysis

Published

Journal Article

Two different procedures are studied by which a frequency analysis of a time-dependent signal can be effected, locally in time. The first procedure is the short-time or windowed Fourier transform, the second is the “wavelet transform,” in which high frequency components are studied with sharper time resolution than low frequency components. The similarities and the differences between these two methods are discussed. For both schemes a detailed study is made of the reconstruction method and its stability, as a function of the chosen time-frequency density. Finally the notion of “time-frequency localization” is made precise, within this framework, by two localization theorems. © 1990 IEEE

Full Text

Duke Authors

Cited Authors

  • Daubechies, I

Published Date

  • January 1, 1990

Published In

Volume / Issue

  • 36 / 5

Start / End Page

  • 961 - 1005

Electronic International Standard Serial Number (EISSN)

  • 1557-9654

International Standard Serial Number (ISSN)

  • 0018-9448

Digital Object Identifier (DOI)

  • 10.1109/18.57199

Citation Source

  • Scopus