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Mendeley readers
| 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
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% |