A comparison study on ECG signal compression methods

Bouguezine, Insaf

dc.contributor.author	Bouguezine, Insaf
dc.contributor.other	Belouchrani, Mohamed Arezki Adel, Directeur de thèse
dc.contributor.other	Adnane, Mourad, Directeur de thèse
dc.date.accessioned	2021-01-24T07:55:58Z
dc.date.available	2021-01-24T07:55:58Z
dc.date.issued	2017
dc.identifier.other	S000188
dc.identifier.uri	http://repository.enp.edu.dz/xmlui/handle/123456789/6866
dc.description	Mémoire de Master : Electronique : Alger, Ecole Nationale Polytechnique : 2017	fr_FR
dc.description.abstract	The aim of this work is to carry out a comparison study for a set of compression methods including DCT , DWT,DFT algorithms , and vector quantization methods like the LGB algorithm. A review of the different techniques used for ECG , speech and image and video compression is also presented. These techniques are implemented on MATLAB r2013a and evaluated based on their respective compression ratios and percentage of mean square difference. The study shows that the dct compression is the most efficient amongst other transform compression techniques and that vector quantization is in the case of an ECG signal a good strategy for a more efficient compresson ratio.	fr_FR
dc.language.iso	en	fr_FR
dc.subject	ECG	fr_FR
dc.subject	DCT DWT Vector quantization	fr_FR
dc.subject	LBG	fr_FR
dc.subject	K-means algorithms	fr_FR
dc.title	A comparison study on ECG signal compression methods	fr_FR
dc.type	Thesis	fr_FR