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  "author": "Eray Guven",
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  "author": "Eray Guven",
            
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  "author_email": "",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2406.05945",
            
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  "doi": "10.57702/7mjbch9i",
            
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  "doi_date_published": "2024-12-17",
            
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  "extra_authors": [
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    {
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    {
            
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      "extra_author": "Gunes Karabulut Kurt",
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      "name": "interference-cancellation",
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      "name": "interference-cancellation",
            
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      "title": "Interference Cancellation"
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      "title": "Interference Cancellation"
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Machine Learning",
            
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      "name": "machine-learning",
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      "name": "machine-learning",
            
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      "title": "Machine Learning"
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      "title": "Machine Learning"
            
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  "name": "signal-interfered-iq-dataset--siiq-",
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  "name": "signal-interfered-iq-dataset--siiq-",
            
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  "notes": "A supervised SNR classification application is under 
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  "notes": "A supervised SNR classification application is under 
            
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investigation as an example for MUL interference cancellation. The 
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investigation as an example for MUL interference cancellation. The 
            
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dataset DU = (x(i), \u03b3(i)) (i \u2208 {1, 2,..., T}) where 
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dataset DU = (x(i), \u03b3(i)) (i \u2208 {1, 2,..., T}) where 
            
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\u03b3(i) \u2208 R1 is the SINR of the ith block and the feature map 
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\u03b3(i) \u2208 R1 is the SINR of the ith block and the feature map 
            
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of the received modulated information is denoted as x \u2208 R2.",
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of the received modulated information is denoted as x \u2208 R2.",
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "name": "Interference cancellation",
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      "display_name": "SNR classification",
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      "display_name": "SNR classification",
            
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      "id": "1ffe5e4e-4ff4-4c62-9cc8-102604e84faf",
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      "id": "1ffe5e4e-4ff4-4c62-9cc8-102604e84faf",
            
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      "name": "SNR classification",
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    }
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  ],
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  "title": "Signal Interfered IQ dataset (SIIQ)",
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  "title": "Signal Interfered IQ dataset (SIIQ)",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}