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Super-Resolution Using Hidden Markov Model and Bayesian Detection Estimation Framework

Overview of attention for article published in EURASIP Journal on Advances in Signal Processing, December 2006
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35 Mendeley
Title
Super-Resolution Using Hidden Markov Model and Bayesian Detection Estimation Framework
Published in
EURASIP Journal on Advances in Signal Processing, December 2006
DOI 10.1155/asp/2006/36971
Authors

Fabrice Humblot, Ali Mohammad-Djafari

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Iran, Islamic Republic of 1 3%
Brazil 1 3%
Unknown 31 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Student > Master 7 20%
Researcher 5 14%
Professor 3 9%
Professor > Associate Professor 2 6%
Other 4 11%
Unknown 5 14%
Readers by discipline Count As %
Engineering 13 37%
Computer Science 10 29%
Mathematics 3 9%
Business, Management and Accounting 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 6 17%