Referenced Items are not available for this document.
As an extension of wavelet theory, new wavelet bases that are discrete in nature and suitable for the analysis and synthesis of pseudo-periodic digital signals are introduced. By means of these bases, the signal is represented in terms of a periodic trend and aperiodic fluctuations at several scales. In the frequency domain, the periodic trend lies in bands that are centered on the harmonics while the fluctuations are distributed in several sidebands. Properties of comb and multiplexed wavelet transforms are examined and the concepts applied to the analysis of real-life signals. In one dimension, the new transforms have interesting applications to speech and music signal processing. Their extension to two dimensions may be useful for the analysis of pseudo-periodic images
Published in:
Signal Processing, IEEE Transactions on
(Volume:42
,
Issue:
2
)
Date of Publication: Feb 1994
- Page(s):
- 292 - 303
- ISSN :
- 1053-587X
- INSPEC Accession Number:
- 4672610
- Digital Object Identifier :
- 10.1109/78.275603
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Feb 1994
- Sponsored by :
- IEEE Signal Processing Society
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
