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. Journal articles
  4. Compressibility of Deterministic and Random Infinite Sequences
 
research article

Compressibility of Deterministic and Random Infinite Sequences

Amini, Arash  
•
Unser, Michael  
•
Marvasti, Farokh
2011
IEEE Transactions on Signal Processing

We introduce a definition of the notion of compressibility for infinite deterministic and i.i.d. random sequences which is based on the asymptotic behavior of truncated subsequences. For this purpose, we use asymptotic results regarding the distribution of order statistics for heavy-tail distributions and their link with alpha-stable laws for1 < alpha < 2. In many cases, our proposed definition of compressibility coincides with intuition. In particular, we prove that heavy-tail (polynomial decaying) distributions fulfill the requirements of compressibility. On the other hand, exponential decaying distributions like Laplace and Gaussian do not. The results are such that two compressible distributions can be compared with each other in terms of their degree of compressibility.

  • Details
  • Metrics
Type
research article
DOI
10.1109/TSP.2011.2162952
Web of Science ID

WOS:000297113500007

Author(s)
Amini, Arash  
Unser, Michael  
Marvasti, Farokh
Date Issued

2011

Publisher

IEEE

Published in
IEEE Transactions on Signal Processing
Volume

59

Start page

5193

End page

5201

Subjects

Compressible prior

•

heavy-tail distribution

•

order statistics

•

stable law

URL

URL

http://bigwww.epfl.ch/publications/amini1101.html

URL

http://bigwww.epfl.ch/publications/amini1101.pdf

URL

http://bigwww.epfl.ch/publications/amini1101.ps
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIB  
Available on Infoscience
December 16, 2011
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/73264
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