{"id":"W2149141930","doi":"10.1109/bsc.2006.1644623","title":"Probability Density Functions of Logarithmic Likelihood Ratios in Rectangular QAM","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Logarithm; Probability density function; Mathematics; Gaussian; Quadrature amplitude modulation; Histogram; Gaussian quadrature; Dimension (graph theory); QAM; Applied mathematics; Statistics; Mathematical analysis; Computer science; Physics; Artificial intelligence; Combinatorics; Bit error rate","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":[0.003218888,0.0007741732,0.000638809,0.001114673,0.000338521,0.001901995,0.001064209,0.001158055,0.004249812],"category_scores_gemma":[0.01703797,0.0005068668,0.0004634784,0.00125786,0.001426554,0.002373494,0.0007002699,0.0008875242,0.00144334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115132,"about_ca_system_score_gemma":0.0006027754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009269592,"about_ca_topic_score_gemma":0.0005308785,"domain_scores_codex":[0.999078,0.0003869481,0.00003573557,0.0001053475,0.0002986621,0.00009517197],"domain_scores_gemma":[0.992344,0.005978758,0.0005872399,0.0003941093,0.0006185373,0.00007739194],"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":[0.0002759192,0.00005008527,0.001756402,0.0003072719,0.00003794249,0.0005617425,0.0004726353,0.618124,0.00871062,0.3324607,0.002216911,0.03502583],"study_design_scores_gemma":[0.00001980475,0.00003309253,0.000715829,0.00005251749,0.00001035437,0.0003191199,0.00004751628,0.9271088,0.001824602,0.0689777,0.0008465202,0.00004422209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03697459,0.001106791,0.9523979,0.0003729483,0.0000288077,0.00006393156,0.0002564533,0.0008051294,0.007993386],"genre_scores_gemma":[0.8725426,0.001676707,0.1190377,0.0002540509,0.000092478,0.0002480319,0.0004403426,0.0002818514,0.005426305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004249812,"threshold_uncertainty_score":0.01702332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021774379205094,"score_gpt":0.211746489729217,"score_spread":0.201528745937166,"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."}}