Sound source localization and tracking : real life application using UMA-16
| dc.contributor.author | Bouznad, Tarek | |
| dc.contributor.other | Belouchrani, Adel, Directeur de thèse | |
| dc.contributor.other | Tebache, Soufiane, Directeur de thèse | |
| dc.date.accessioned | 2025-10-14T09:29:08Z | |
| dc.date.available | 2025-10-14T09:29:08Z | |
| dc.date.issued | 2025 | |
| dc.description | Mémoire de Projet de Fin d’Études : Electronique : Alger, École Nationale Polytechnique : 2025 | fr_FR |
| dc.description.abstract | This thesis addresses two major challenges in acoustic signal processing: motion parameter estimation using the Doppler effect, and sound source localization with microphone arrays. The first part explores how the instantaneous frequency (IF) shift induced by the Doppler effect enables the estimation of a moving source’s velocity, altitude, and emission frequency using a single microphone, through a closed-form solution validated by simulation. The second part focuses on speaker localization and separation using spatial filtering methods (SRP-PHAT, MVDR, LCMV). A real-time system is implemented with a MiniDSP UMA-16 microphone array and a camera for visual projection. | fr_FR |
| dc.identifier.other | EP00919 | |
| dc.identifier.uri | https://repository.enp.edu.dz/handle/123456789/11235 | |
| dc.language.iso | en | fr_FR |
| dc.subject | Doppler effect | fr_FR |
| dc.subject | Instantaneous frequency | fr_FR |
| dc.subject | Motion estimation | fr_FR |
| dc.subject | Sound source localization | fr_FR |
| dc.subject | Microphone arrays | fr_FR |
| dc.subject | Beamforming | fr_FR |
| dc.subject | Speaker tracking | fr_FR |
| dc.subject | Audio-visual integration | fr_FR |
| dc.title | Sound source localization and tracking : real life application using UMA-16 | fr_FR |
| dc.type | Thesis | fr_FR |