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Coding of biosignals using the discrete wavelet decomposition

Author
Reig, R.; Marti, P.; Sole, J.; Zaiats, V.; Parisi, V.
Type of activity
Presentation of work at congresses
Name of edition
International conference on non-linear speech processing 2009
Date of publication
2009
Presentation's date
2009-06
Book of congress proceedings
Advances in nonlinear speech processing : international conference on nonlinear speech processing, NOLISP 2009 : Vic, Spain, June 25-27, 2009 : revised selected papers
First page
144
Last page
151
Publisher
Springer
DOI
https://doi.org/10.1007/978-3-642-11509-7_19 Open in new window
Repository
http://hdl.handle.net/2117/14273 Open in new window
Abstract
Wavelet derived codification techniques are widespread used in image codifiers. The wavelet based compression methods are adequate for representing transients. In this paper we explore the use of the discrete wavelet transform analysis of biological signals in order to improve the data compression capability of data coders. The wavelet analysis provides a subband decomposition of any signal, and this enables a lossless or a lossy implementation with the same architecture. The signals could range...
Citation
Reig, R. [et al.]. Coding of biosignals using the discrete wavelet decomposition. A: International conference on non-linear speech processing. "Advances in nonlinear speech processing : international conference on nonlinear speech processing, NOLISP 2009 : Vic, Spain, June 25-27, 2009 : revised selected papers". Vic: Springer, 2009, p. 144-151.
Group of research
SARTI - Technological Development Center for Remote Acquisition and Data Processing System

Participants

  • Reig Bolano, Ramon  (author and speaker )
  • Marti Puig, Pere  (author and speaker )
  • Sole Casals, Jordi  (author and speaker )
  • Zaiats, Vladimir  (author and speaker )
  • Parisi Baradad, Vicenç  (author and speaker )