{"id":"W2596179824","doi":"","title":"Towards Fully Optimized BICM Transceivers.","year":2011,"lang":"en","type":"dissertation","venue":"UCL Discovery (University College London)","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Additive white Gaussian noise; Fading; Bit error rate; Computer science; Algorithm; Transceiver; Nakagami distribution; Channel (broadcasting); Modulation (music); Multiplexing; Electronic engineering; Telecommunications; Mathematics; Engineering; Wireless; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005954996,0.0005597552,0.0003920644,0.0003403849,0.0001678034,0.0005103671,0.0004226187,0.0005125451,0.001894576],"category_scores_gemma":[0.001165128,0.0003553092,0.0001986083,0.0003476983,0.0003238756,0.0005873314,0.0006146948,0.0006386632,0.0009899654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000513742,"about_ca_system_score_gemma":0.0004144883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003984983,"about_ca_topic_score_gemma":0.0007883793,"domain_scores_codex":[0.99959,0.0001437836,0.00001242577,0.00003143571,0.0001858165,0.00003668087],"domain_scores_gemma":[0.9997209,0.00008534754,0.00004439137,0.00003817211,0.00009654628,0.00001471526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002393207,0.0001087211,0.00101726,0.0004729412,0.0001162561,0.0001349496,0.0002777029,0.4205145,0.07929011,0.272162,0.01076147,0.2149048],"study_design_scores_gemma":[0.00004586662,0.0002274725,0.000544114,0.0001304314,0.00003081231,0.0002677994,0.00006334738,0.840584,0.02277971,0.1000975,0.03518066,0.00004822732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03995162,0.003338871,0.9289828,0.0004212643,0.0001377352,0.00006565959,0.0001520429,0.0003854242,0.02656452],"genre_scores_gemma":[0.4345916,0.003009517,0.5463746,0.0005393289,0.0001127425,0.0001898638,0.0004657014,0.0001227294,0.01459396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001894576,"threshold_uncertainty_score":0.006337941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009181172332252588,"score_gpt":0.1996194656970179,"score_spread":0.1904382933647653,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}