1. Repository | Ecole Nationale Polytechnique
  2. Travaux universitaires
  3. Mémoire de Master
  4. Département Electronique
Veuillez utiliser cette adresse pour citer ce document : http://repository.enp.edu.dz/jspui/handle/123456789/6866
Affichage complet
Élément Dublin CoreValeurLangue
dc.contributor.authorBouguezine, Insaf-
dc.contributor.otherBelouchrani, Mohamed Arezki Adel, Directeur de thèse-
dc.contributor.otherAdnane, Mourad, Directeur de thèse-
dc.date.accessioned2021-01-24T07:55:58Z-
dc.date.available2021-01-24T07:55:58Z-
dc.date.issued2017-
dc.identifier.otherS000188-
dc.identifier.urihttp://repository.enp.edu.dz/xmlui/handle/123456789/6866-
dc.descriptionMémoire de Master : Electronique : Alger, Ecole Nationale Polytechnique : 2017fr_FR
dc.description.abstractThe 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.isoenfr_FR
dc.subjectECGfr_FR
dc.subjectDCT DWT Vector quantizationfr_FR
dc.subjectLBGfr_FR
dc.subjectK-means algorithmsfr_FR
dc.titleA comparison study on ECG signal compression methodsfr_FR
dc.typeThesisfr_FR
Collection(s) :Département Electronique

Fichier(s) constituant ce document :
Fichier Description TailleFormat 
BOUGUEZINE.Insaf.pdfMs135172.12 MBAdobe PDFVoir/Ouvrir
Affichage abbrégé


Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.