{"id":"W1981785090","doi":"10.1049/el:20030474","title":"Error performance of BPSK in fast Rician fading channels","year":2003,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rician fading; Phase-shift keying; Fading; Bit error rate; Channel (broadcasting); Keying; Mathematics; Moment-generating function; Frequency-shift keying; Algorithm; Computer science; Electronic engineering; Telecommunications; Statistics; Probability density function; Engineering; Demodulation","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":[0.002320466,0.0008372723,0.0007152935,0.0008427476,0.0006364465,0.0009318716,0.000418485,0.001472145,0.001277275],"category_scores_gemma":[0.01334174,0.0002159117,0.0001672853,0.0008184575,0.001162675,0.001274919,0.0008188752,0.0005320201,0.0004285727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008346559,"about_ca_system_score_gemma":0.0006247143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001839989,"about_ca_topic_score_gemma":0.0006855021,"domain_scores_codex":[0.9982309,0.0005441411,0.00007201151,0.0001517751,0.0007442629,0.000257039],"domain_scores_gemma":[0.9915389,0.005841671,0.0005519031,0.0005014173,0.001473348,0.00009270122],"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":[0.002922532,0.00008615021,0.005844857,0.0002957297,0.0001110445,0.0004804482,0.0004179875,0.8442175,0.05062944,0.02467743,0.001013189,0.06930363],"study_design_scores_gemma":[0.00006047052,0.0004915039,0.002754566,0.0000485103,0.0000364152,0.0003834907,0.00008824727,0.9591695,0.02952436,0.006667168,0.0006999103,0.00007585295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8531081,0.002511946,0.1325734,0.0005771465,0.0001365256,0.00002866714,0.0002268176,0.0008817659,0.00995563],"genre_scores_gemma":[0.9930689,0.0003748935,0.005138511,0.00004292709,0.00002709312,0.00001049866,0.00007175064,0.00004108678,0.00122436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002320466,"threshold_uncertainty_score":0.01227194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007863576644743691,"score_gpt":0.2191298355423049,"score_spread":0.2112662588975612,"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."}}