{"id":"W2133050515","doi":"10.1109/ccece.2014.6900914","title":"Efficient M-PSK lock detectors and SNR estimators","year":2014,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF; University of British Columbia","funders":"","keywords":"Detector; Phase-shift keying; Lock (firearm); Computer science; Phase detector; Estimator; Keying; Electronic engineering; Detection theory; Signal-to-noise ratio (imaging); Channel (broadcasting); Algorithm; Bit error rate; Electrical engineering; 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":[0.0006209908,0.0005514712,0.0005008312,0.0006615862,0.0002757317,0.0009319392,0.0008417343,0.0006491505,0.001942314],"category_scores_gemma":[0.002384081,0.0003836804,0.0002356554,0.000456988,0.0004744491,0.001354911,0.00064061,0.0007748064,0.000908707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005998514,"about_ca_system_score_gemma":0.0004726672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002491365,"about_ca_topic_score_gemma":0.0007248213,"domain_scores_codex":[0.9993973,0.0001280176,0.00002592495,0.00008853745,0.0003216944,0.00003849573],"domain_scores_gemma":[0.9992881,0.0003408495,0.000121971,0.00008162097,0.000145291,0.00002205279],"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":[0.0005434702,0.000239854,0.002487143,0.0003180082,0.0001164228,0.0001743179,0.0001467829,0.1111492,0.2763135,0.1070493,0.003221165,0.4982408],"study_design_scores_gemma":[0.0000768841,0.0003445125,0.0008933874,0.00003098345,0.00005610185,0.0002761417,0.00002001816,0.8395489,0.1327558,0.01399852,0.01195223,0.00004657852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006387688,0.0003249428,0.991972,0.00005372538,0.00002457816,0.00002242912,0.00002636804,0.0001912289,0.0009970093],"genre_scores_gemma":[0.2321183,0.0004827351,0.7630678,0.0001453682,0.0001498786,0.00009851953,0.00008890486,0.00005188406,0.003796636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001942314,"threshold_uncertainty_score":0.006497681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004017665236608183,"score_gpt":0.1667260189995318,"score_spread":0.1627083537629236,"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."}}