Titre :	A comparison study on ECG signal compression methods
Type de document :	texte imprimé
Auteurs :	Insaf Bouguezine, Auteur ; Mohamed Arezki Adel Belouchrani, Directeur de thèse ; Mourad Adnane, Directeur de thèse
Editeur :	[S.l.] : [s.n.]
Année de publication :	2017
Importance :	46 f.
Présentation :	ill.
Format :	30 cm.
Accompagnement :	1 CD-ROM.
Note générale :	Mémoire de Master : Electronique : Alger, Ecole Nationale Polytechnique : 2017 Bibliogr. f. 45 - 46
Langues :	Anglais (eng)
Mots-clés :	ECG Compressin DCT DWT Vector quantization LBG K-means algorithms
Index. décimale :	Ms13517
Résumé :	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.

A comparison study on ECG signal compression methods [texte imprimé] / Insaf Bouguezine, Auteur ; Mohamed Arezki Adel Belouchrani, Directeur de thèse ; Mourad Adnane, Directeur de thèse . - [S.l.] : [s.n.], 2017 . - 46 f. : ill. ; 30 cm. + 1 CD-ROM.
Mémoire de Master : Electronique : Alger, Ecole Nationale Polytechnique : 2017
Bibliogr. f. 45 - 46
Langues : Anglais (eng)

Mots-clés :	ECG Compressin DCT DWT Vector quantization LBG K-means algorithms
Index. décimale :	Ms13517
Résumé :	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.