Lossless EEG signal compression

Ziya Arnavut, Hüseyin Koçak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In this work, we investigate the lossless compression of EEG signals using Burrows-Wheeler Transformation and linear prediction. We show that when compressing EEG signals utilization of linear prediction and Burrows-Wheeler Transformation yield better compression than the well-known techniques.

Original languageEnglish (US)
Title of host publicationICSCCW 2009 - 5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control
DOIs
StatePublished - Dec 1 2009
Event5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, ICSCCW 2009 - Famagusta, Cyprus
Duration: Sep 2 2009Sep 4 2009

Publication series

NameICSCCW 2009 - 5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control

Other

Other5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, ICSCCW 2009
CountryCyprus
CityFamagusta
Period9/2/099/4/09

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ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Arnavut, Z., & Koçak, H. (2009). Lossless EEG signal compression. In ICSCCW 2009 - 5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control [5379436] (ICSCCW 2009 - 5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control). https://doi.org/10.1109/ICSCCW.2009.5379436