| Title |
A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals
|
|---|---|
| Published in |
ADS, May 2012
|
| DOI | 10.1186/1687-6180-2012-117 |
| Authors |
Boualem Boashash, Larbi Boubchir, Ghasem Azemi |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 2% |
| France | 1 | 2% |
| Unknown | 57 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 24% |
| Researcher | 6 | 10% |
| Student > Master | 5 | 8% |
| Professor | 4 | 7% |
| Professor > Associate Professor | 4 | 7% |
| Other | 12 | 20% |
| Unknown | 14 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 34% |
| Computer Science | 7 | 12% |
| Neuroscience | 5 | 8% |
| Physics and Astronomy | 2 | 3% |
| Mathematics | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 17 | 29% |