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"text": "the convergence rate guarantees achieved by designing algorithms for s ( m , l ) using theorem 4 are plotted over the condition number l/m and compared to the rate bound of triple momentum Ο = β β mβ l and .",
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"text": "optimal location of relaysrr as a function ofΟr = kr/k and for n=6 relays .",
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"text": "closed-form and simulated fer results of the schcn scheme under a total transmit power constraint : n = 3 , Ο0 = Ο1i = Ο2i = 1 andl = 100 .",
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"text": "closed-form and simulated fer results of the schcn scheme under a total transmit power constraint : n = 3 , Ο0 = Ο1i = Ο2i = 1 andl = 100 .",
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"text": "Can you provide a scientific explanation for this image?\n",
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"text": "closed-form and simulated fer results of the schcn scheme under a total transmit power constraint : n = 3 , Ο0 = Ο1i = Ο2i = 1 andl = 100 .",
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"text": "What is the significance of the findings shown in this image?\n",
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"text": "closed-form and simulated fer results of the schcn scheme under a total transmit power constraint : n = 3 , Ο0 = Ο1i = Ο2i = 1 andl = 100 .",
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"text": "test loss for recovery from random gaussian projections on an artificial chirp signal with a 300 hz frequency sweep with n = 16 , 384 and varying numbers of measurement by our method , lasso in the dct basis , nlm-vamp , and wiener-vamp .",
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"text": "test loss for recovery from random gaussian projections on an artificial chirp signal with a 300 hz frequency sweep with n = 16 , 384 and varying numbers of measurement by our method , lasso in the dct basis , nlm-vamp , and wiener-vamp .",
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"text": "test loss for recovery from random gaussian projections on an artificial chirp signal with a 300 hz frequency sweep with n = 16 , 384 and varying numbers of measurement by our method , lasso in the dct basis , nlm-vamp , and wiener-vamp .",
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"text": "average power consumption of optimal scheme and proposed heuristic schemes in [ 24 ] and [ 8 ] vs hard deadline constraint m .",
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"text": "Can you provide a scientific explanation for this image?\n",
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"text": "average power consumption of optimal scheme and proposed heuristic schemes in [ 24 ] and [ 8 ] vs hard deadline constraint m .",
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"text": "What are the key features observed in this image?\n",
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"text": "comparison of abe with hard and soft thresholding .",
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"text": "amount of isolated nodes during a simulation ; progressive node failures β clustered network ; Ξ³ = 0.1 , Ο = 0.1 ; 200 nodes , 4 clusters ( on average , there are 4Ο inter-cluster links ) .",
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"content": [
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"text": "amount of isolated nodes during a simulation ; progressive node failures β clustered network ; Ξ³ = 0.1 , Ο = 0.1 ; 200 nodes , 4 clusters ( on average , there are 4Ο inter-cluster links ) .",
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"content": [
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"text": "amount of isolated nodes during a simulation ; progressive node failures β clustered network ; Ξ³ = 0.1 , Ο = 0.1 ; 200 nodes , 4 clusters ( on average , there are 4Ο inter-cluster links ) .",
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"text": "amount of isolated nodes during a simulation ; progressive node failures β clustered network ; Ξ³ = 0.1 , Ο = 0.1 ; 200 nodes , 4 clusters ( on average , there are 4Ο inter-cluster links ) .",
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"text": "What are the key features observed in this image?\n",
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"content": [
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"text": "index im satisfies a1βa5 but is not upper bounded .",
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"text": "Can you provide a scientific explanation for this image?\n",
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"content": [
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