| Titre : | Blind source separation |
| Auteurs : | Qasem Bendermel, Auteur ; Mohamed Arezki Adel Belouchrani, Directeur de thèse ; M. Adnane, Directeur de thèse |
| Type de document : | texte imprimé |
| Editeur : | [S.l.] : [s.n.], 2017 |
| Format : | 40 f. / ill. / 30 cm. |
| Accompagnement : | 1 CD-ROM. |
| Note générale : |
Mémoire de Master : Electronique : Alger, Ecole Nationale Polytechnique : 2017
Bibliogr. f. 39 - 40 |
| Langues : | Anglais |
| Index. décimale : | Ms13317 |
| Tags : | Blind source separation Independent Component Analysis Signal process-ing |
| Résumé : |
Blind Source Separation (BSS) is a statistical approach to separating individual signals from an observed mixture of a group of signals.
BSS relies on only very weak assumptions on the signals and the mixing process and this blindness enables the technique to be used in a wide variety of situations. Research in the field of Blind Source Separation has resulted in the development of a family of algorithms, known as Independent Component Analysis (ICA) algorithms, that can reliably and efficiently achieve blind separation of signals. There are two important problems that are generally considered: instantaneous BSS and convolutive BSS. The difference between these two is based on the nature of the signal mixing process. In this thesis, the mathematical foundations of both instanta-neous and convolutive BSS are developed. Once this mathematical framework has been established, the emphasis of the thesis moves to experimental results obtained with ICA techniques . |
Exemplaires (1)
| Cote | Support | Localisation | Section | Disponibilité | Spécialité | Etat_Exemplaire |
|---|---|---|---|---|---|---|
| Ms13317 | Papier + ressource électronique | Bibliothèque Annexe | Mémoire de Master | Disponible | Electronique | Consultation sur place/Téléchargeable |
Documents numériques (1)
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BENDERMEL.Qasem.pdf URL
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