L. Courbes-de-roc-de-l-'hsd-et-de-l and .. , EHSDàEHSDà ?5 dB, pour ? = 1. Nous observons dans ces conditions que l'HSD et l'EHSD présentent les mêmes performances, p.78

L. Courbes-de-roc-de-l-'hsd-et-de-l-'ehsdàehsdà, ?. Db-'hsd, and .. , pour ? = 1. On observe que, dans ces conditions l'EHSD présente de meilleures performances de détection par rapportàrapportà l, p.78

L. Courbes, EQM obtenues avec l'estimateur (3.14) et la méthode du compressed sensing en fonction du nombre d'´ echantillon, p.89

V. Le and .. , 14) avec et sans filtrage Il est notable que le filtrage augmente le bruit d'estimation etenì eve les harmoniques de la fréquence cyclique fondamentale, p.92

V. La-norme-du, obtenue avec 2500échantillons2500échantillons) obtenue en utilisant (3.21) avec et sans filtragè a l'´ emission, p.92

.. Les-courbes-de-l, EQM obtenues avec l'estimateur (3.14) et la méthode du compressed sensing en utilisant un filtre en racine de NyquistàNyquistà l'´ emission pour les deux méthodes, p.94

.. Les-courbes-de-l, EQM obtenues en utilisant la méthode du compressed sensing avec et sans filtragè a l'´ emission, p.94

.. Les-courbes-de-l, EQM obtenues en utilisant l'estimateur (3.14), avec et sans filtragè a l'´ emission, p.95

.. Les-courbes-de-l, EQMàEQMà la réception avec un canal de propagation pour les deux estimateurs (3.14) et (3.21), p.96

L. Courbes, EQM ? f obtenues avec l'estimateur (3.14) et la méthode du compressed sensing en fonction du nombre d'´ echantillons, p.99

L. Courbes, EQM ? f obtenues avec l'estimateur (3.14) et la méthode du compressed sensing pour 150échantillons150échantillons en fonction du RSB, p.100

.. Les-courbes-de-l, EQM ? f en fonction du nombre d'´ echantillon obtenues avec l'estimateur (3.14) et la méthode du compressed sensing, en utilisant un filtragè a l'´ emission, p.101

.. Les-courbes-de-l, EQM ? f obtenues avec l'estimateur (3.14) et la méthode du compressed sensing pour 1000échantillons1000échantillons en fonction du RSB en utilisant un filtragè a l'´ emission, p.101

L. Courbes, EQM ? f obtenues avec l'estimateur (3.14) et la méthode du compressed sensing pour 1000échantillons1000échantillons en fonction du RSB en utilisant un filtragè a l'´ emission et après convolution avec le canal c(? ), p.102

L. Courbes-de-roc-de and L. , MCS pour différentes valeurs de M et pour un RSB = 0 dB avec un nombre total d'´ echantillonségaìechantillonségaì a 400 On remarque que les performances de détection s'améliorent avec l'augmentation du nombre de retard M, p.107

L. Courbes-de-roc-de-la, M. De-la, M. , and M. , pour un nombre total d'´ echantillonségaìechantillonségaì a 400 et un RSB = 0 dB. On observe de meilleures performances de la MCSS par rapportàrapportà, p.110

L. Courbes-de, R. Du-détecteur-cylostationnaire-comparécomparéà-la-mcss-la, and M. , Pour les deux cas un nombre total d'´ echantillons utilisés estégaìestégaì a 400 et le RSB estégaìestégaì a 0 dB. On observe de meilleures performances pour, p.110

L. Courbes-de-roc-du-db and .. , détecteur cylostationnaire avec et sans filtragè a l'´ emission Pour les deux cas un nombre total d'´ echantillons utilisés estégaì estégaì a 400 et le RSB utilisé estégaìestégaì a 0, p.111

L. Courbes-de, R. Et-sans-filtrage, and .. , Pour les deux cas un nombre total d'´ echantillons utilisés estégaìestégaì a 400 et le RSB estégaìestégalestégaì a 0 dB. On observe de meilleures performances pour la MCSS dans le cas ou un filtrè a l'´ emission est utilisé, p.112

L. Courbes-de-roc-de-la, M. Du-détecteur-cyclostationnaire, and .. Et-sans-filtrage, Pour les quatre cas un nombre total d'´ echantillons utilisés estégaì estégaì a 400 et le RSB estégaìestégaì a 0 dB. On observe de meilleures performances pour la MCSS dans le cas ou un filtrè a l'´ emission est utilisé, par contre une dégradation des performances de la méthode cyclostationnaire due au filtrage est observée, p.113

L. Courbes-de and R. , ´ echantillons totaí egaì a 300 et un RSB = 0 dB. On distingue les deux cas : avec et sans filtrage, p.127

M. , M. Et-le-détecteur-de-cyclostationarité, and .. , La probabilité de détection P d pour une fausse alarme fixéè a 10% sous un RSB = 0 dB, en fonction du nombre d'´ echantillons (temps d'observation) en utilisant un filtragè a l'emission et ceci pour les méthodes, p.132

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