{"id":"W4243491158","doi":"10.1109/icccas.2002.1180621","title":"A new family of carrier lock detectors and E/sub s//N/sub 0/ estimators for M-PSK receivers","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Lock (firearm); Detector; Additive white Gaussian noise; Computer science; Computation; Application-specific integrated circuit; Estimator; Field-programmable gate array; Channel (broadcasting); Metric (unit); Algorithm; Electronic engineering; Computer hardware; Mathematics; Engineering; Telecommunications; Statistics","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":[0.001478172,0.0008130904,0.0009504791,0.001273859,0.0004158619,0.0008724632,0.001051184,0.0008799817,0.001066053],"category_scores_gemma":[0.003960016,0.0004147949,0.000714874,0.000731442,0.0009873441,0.001509904,0.0006997798,0.001213875,0.0006780697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005623726,"about_ca_system_score_gemma":0.0005940631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004809033,"about_ca_topic_score_gemma":0.0005444475,"domain_scores_codex":[0.9991565,0.0001768398,0.0000514937,0.0001879452,0.0003730688,0.00005426348],"domain_scores_gemma":[0.9985245,0.0005975631,0.0001829519,0.0001608339,0.0004646562,0.0000695289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005002294,0.0001208584,0.00499595,0.0003706893,0.0002049788,0.0004785912,0.0002377967,0.1092069,0.1247297,0.2363106,0.005933627,0.5169101],"study_design_scores_gemma":[0.00008714891,0.0004647126,0.001705231,0.00008475957,0.0001035478,0.001351232,0.00004323302,0.8479063,0.0577238,0.04999365,0.04039771,0.0001387282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005100905,0.0007132646,0.9929382,0.00006818404,0.0000468166,0.00002831676,0.00003442364,0.00027493,0.0007949286],"genre_scores_gemma":[0.1549005,0.001447643,0.8386267,0.0002355257,0.0002175972,0.000183045,0.0001469482,0.0001258796,0.004116154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001478172,"threshold_uncertainty_score":0.007817388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334399707286135,"score_gpt":0.2682185479697394,"score_spread":0.244874550896878,"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."}}