{"id":"W2164914982","doi":"10.1109/bsc.2006.1644568","title":"Adaptive Demodulation Performance over a Rayleigh Fading Channel","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Demodulation; Rayleigh fading; Channel state information; Transmitter; Fading; Computer science; Link adaptation; Quadrature amplitude modulation; Channel (broadcasting); Electronic engineering; Phase-shift keying; Spectral efficiency; Modulation (music); Telecommunications; Bit error rate; Engineering; Wireless; Physics; Acoustics","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":[0.00066444,0.0004276763,0.0003369607,0.0003013205,0.000237304,0.0004063736,0.0003326528,0.0004822803,0.001208696],"category_scores_gemma":[0.002939257,0.0000890146,0.0001489205,0.0003287917,0.0003709676,0.0005961901,0.0004422113,0.0003631448,0.0003023034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002545476,"about_ca_system_score_gemma":0.0003483426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001063699,"about_ca_topic_score_gemma":0.0004371348,"domain_scores_codex":[0.9995746,0.0001161255,0.00001705612,0.00004963826,0.0001608275,0.00008173209],"domain_scores_gemma":[0.9978096,0.001268554,0.0001559678,0.0001736018,0.0005405204,0.0000517956],"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":[0.001806833,0.0001507051,0.009654243,0.000204377,0.0001161416,0.0004616789,0.0002569008,0.549911,0.3112283,0.01260484,0.0006227302,0.1129822],"study_design_scores_gemma":[0.000058488,0.001049763,0.003016773,0.000018824,0.00005514618,0.0005313819,0.00005902503,0.8405647,0.1513635,0.002027297,0.001196691,0.00005842757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.871851,0.0004163427,0.1207757,0.0001362658,0.00003351438,0.00002671426,0.00006559545,0.0004116253,0.006283255],"genre_scores_gemma":[0.9871309,0.0002229965,0.01157535,0.00002858582,0.00001236272,0.0000111191,0.00004796231,0.00002457652,0.0009461027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001208696,"threshold_uncertainty_score":0.00404346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041897992769214,"score_gpt":0.2092363692811474,"score_spread":0.1988173893534552,"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."}}