{"id":"W2148595264","doi":"10.1109/glocom.1992.276597","title":"Carrier recovery for a passband PS-FSE in a single-chip V.32 modem","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Instituto de Telecomunicações","keywords":"Passband; Phase-locked loop; Adaptive equalizer; Computer science; Convergence (economics); Equalization (audio); Algorithm; Carrier recovery; Equalizer; Electronic engineering; Control theory (sociology); Telecommunications; Decoding methods; Engineering; Band-pass filter; Artificial intelligence; Jitter; Carrier signal","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":[0.0003259494,0.0001712393,0.0001805291,0.000210372,0.0002208105,0.0002678357,0.0002262335,0.0003049713,0.003890921],"category_scores_gemma":[0.0008121638,0.00007877385,0.0001261011,0.0001215115,0.0001522289,0.0003472284,0.000146708,0.0002192714,0.0006489268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003887671,"about_ca_system_score_gemma":0.0003786854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001382796,"about_ca_topic_score_gemma":0.002322042,"domain_scores_codex":[0.999885,0.0000226426,0.000004323906,0.00001367452,0.00006164283,0.00001274181],"domain_scores_gemma":[0.9998614,0.00006731071,0.00001281483,0.00001964488,0.00003409076,0.000004729687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001071041,0.0001322907,0.001953328,0.000222299,0.00004486271,0.0003525338,0.0003714866,0.1926997,0.3199321,0.06852175,0.005159861,0.4095387],"study_design_scores_gemma":[0.00005455928,0.0002614444,0.0006754757,0.00002044857,0.00001606145,0.0002173314,0.00003126641,0.8759421,0.1099862,0.004701374,0.008076739,0.00001698622],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1801704,0.0002195931,0.8092877,0.0003328375,0.00005958906,0.00007306953,0.00008462871,0.002058216,0.007714069],"genre_scores_gemma":[0.795801,0.000128986,0.1931905,0.00005786771,0.00001164481,0.00003931708,0.00009443882,0.00009191727,0.01058426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003890921,"threshold_uncertainty_score":0.01301646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716469243371995,"score_gpt":0.2298754584193879,"score_spread":0.202710765985668,"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."}}