{"id":"W2044733806","doi":"10.1109/tcomm.2006.885072","title":"An Analytical Expression for the BER of an Individually Optimal Single Cochannel Interferer BPSK Receiver","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Phase-shift keying; Additive white Gaussian noise; Bit error rate; Interference (communication); Algorithm; Keying; Electronic engineering; Computer science; Mathematics; Gaussian noise; Channel (broadcasting); Telecommunications; Decoding methods; Engineering","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":[0.001094811,0.000959494,0.0008424195,0.000589359,0.000365803,0.0009453394,0.0009089937,0.00109295,0.003868992],"category_scores_gemma":[0.004059393,0.0003796302,0.0004206373,0.0006034203,0.0008866146,0.001281085,0.0006385384,0.000832501,0.002095832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244424,"about_ca_system_score_gemma":0.0008458034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000814445,"about_ca_topic_score_gemma":0.001037608,"domain_scores_codex":[0.9991176,0.0001327157,0.0000392755,0.00009980641,0.0005122782,0.00009839427],"domain_scores_gemma":[0.9988155,0.0005473156,0.0001068053,0.0000916547,0.0004156368,0.00002302708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009827266,0.00003767705,0.0005237503,0.0002287679,0.00004478308,0.0002695246,0.0001634748,0.8191655,0.02570369,0.1122893,0.002320757,0.03915457],"study_design_scores_gemma":[0.000009537608,0.00005926728,0.0003784718,0.00006115033,0.00002300767,0.0003931428,0.00003444314,0.9639869,0.008211813,0.02412592,0.0026853,0.00003102949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01353857,0.0008540141,0.9719328,0.0002850002,0.00006264374,0.00002749206,0.00009772526,0.0004776576,0.01272409],"genre_scores_gemma":[0.6058056,0.00242068,0.3747503,0.0003543028,0.0001907284,0.0002068892,0.0002787577,0.0003857366,0.01560702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003868992,"threshold_uncertainty_score":0.01294309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05322844969051971,"score_gpt":0.3311402596869316,"score_spread":0.2779118099964119,"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."}}