Hyperbolic wavelet power spectra of nonstationary signals

Khoa N. Le, Kishor P. Dabke, Gregory K. Egan

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

The hyperbolic kernel and hyperbolic wavelet were shown to be useful and effective in time-frequency signal processing (Le et al. , 2001 and 2003). We introduce the time-frequency wavelet power spectrum as a useful technique to study signal characteristics in which the hyperbolic and sym3 wavelets are employed. The hyperbolic wavelet power spectrum technique is employed for signals including electrocardiogram (ECG), sinusoidal, transient exponential, music, and speech. Comparisons between the Fourier power spectrum technique and hyperbolic wavelet power spectrum technique are also made.
Original languageEnglish
Pages (from-to)3017-3037
Number of pages21
JournalOptical Engineering
Volume42
Issue number10
DOIs
Publication statusPublished - 2003

Keywords

  • Fourier transformations
  • electrocardiography
  • music
  • signal processing
  • speech
  • wavelets (mathematics)

Fingerprint

Dive into the research topics of 'Hyperbolic wavelet power spectra of nonstationary signals'. Together they form a unique fingerprint.

Cite this