Hyperbolic time-frequency power spectrum

K. N. Le, K. P. Dabke, G. K. Egan

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

A new hyperbolic kernel and hyperbolic wavelet are presented along with their applications in signal detection and signal analysis. Comparisons are made between the hyperbolic kernel and highly-regarded Choi-Williams kernel. Applications of the hyperbolic kernel are outlined. Parallel computing is used to calculate the bispectrum and time-frequency power spectrum with encouraging results. Up-to-date applications of time-frequency power spectra are discussed.

Original languageEnglish
Title of host publicationProceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages705-708
Number of pages4
ISBN (Electronic)0780382927, 9780780382923
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003 - Darmstadt, Germany
Duration: 14 Dec 200317 Dec 2003

Publication series

NameProceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003

Conference

Conference3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003
Country/TerritoryGermany
CityDarmstadt
Period14/12/0317/12/03

Bibliographical note

Publisher Copyright:
© 2003 IEEE.

Keywords

  • Application software
  • Autocorrelation
  • Kernel
  • Parallel processing
  • Power engineering and energy
  • Power engineering computing
  • Signal detection
  • Signal processing
  • Time frequency analysis
  • Wavelet analysis

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