Blind source separation in time frequency domain using contrast functions
| dc.contributor.author | Bouchouata, Abdelkrim | |
| dc.contributor.other | Belouchrani, Adel, Directeur de thès | |
| dc.date.accessioned | 2020-12-17T14:34:27Z | |
| dc.date.available | 2020-12-17T14:34:27Z | |
| dc.date.issued | 2010 | |
| dc.description | Mémoire de Magister : Electronique : Alger, Ecole Nationale Polytechnique : 2010 | fr_FR |
| dc.description.abstract | This thesis presents the implementation of new blind source separation techniques exploiting the time-frequency signatures of the source signals. The proposed approach relies on time-frequency distributions (TFD). Two TFDbased contrast functions are presented for non-stationary sources. Iterative algorithms using the relative gradient technique are used to optimize the proposed functions and perform source separaration | fr_FR |
| dc.identifier.other | M003410 | |
| dc.identifier.uri | https://repository.enp.edu.dz/handle/123456789/869 | |
| dc.language.iso | en | fr_FR |
| dc.publisher | Ecole nationale polytechnique | fr_FR |
| dc.relation.ispartofseries | Electronique; | |
| dc.subject | Blind source separation | fr_FR |
| dc.subject | Time-frequency distributions | fr_FR |
| dc.subject | Nonstationary signals | fr_FR |
| dc.subject | Iterative algorithms | fr_FR |
| dc.subject | Contrast functions | fr_FR |
| dc.title | Blind source separation in time frequency domain using contrast functions | fr_FR |
| dc.type | Thesis | fr_FR |