Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. EPFL thesis
  4. Compressed sensing : a universal energy-efficient compression scheme for biosignals on wireless body sensor nodes
 
doctoral thesis

Compressed sensing : a universal energy-efficient compression scheme for biosignals on wireless body sensor nodes

Mamaghanian, Hossein  
2014
  • Files
  • Details
  • Metrics
Type
doctoral thesis
DOI
10.5075/epfl-thesis-6340
Author(s)
Mamaghanian, Hossein  
Advisors
Atienza Alonso, David  
•
Vandergheynst, Pierre  
Jury

Prof. J.R. Mosig (président) ; Prof. D. Atienza Alonso, Prof. P. Vandergheynst (directeurs) ; Prof. A.P. Burg, Dr A. Dupret, Prof. E. Macii (rapporteurs)

Date Issued

2014

Publisher

EPFL

Publisher place

Lausanne

Public defense year

2014-08-25

Thesis number

6340

Subjects

compressed sensing

•

compressive sensing

•

sparse recovery

•

sparse representation

•

rmpi

•

srmpi

•

analog compressed sensing

•

low-power analog to information devices

•

wireless body sensor network

•

compressible

•

compression

•

convex optimization

•

biomedical Signal

•

electrocardiogram

•

robust compressed sensing

•

voltage scaling

•

in-exactness

•

erroneous memories

EPFL units
ESL  
Faculty
STI  
School
IEL  
Doctoral School
EDEE  
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/106020
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés