{"id":"W2135435014","doi":"10.1109/pacrim.1991.160794","title":"Fractionally spaced equalization for analog cellular data modems","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Scientific and Engineering Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Nortel (Canada)","funders":"","keywords":"Quadrature amplitude modulation; QAM; Intersymbol interference; Equalization (audio); Noise (video); Computer science; Adaptive equalizer; Electronic engineering; Equalizer; Pulse-amplitude modulation; Distortion (music); Interference (communication); Detector; Telecommunications; Bit error rate; Bandwidth (computing); Engineering; Decoding methods; Artificial intelligence; Pulse (music)","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":[0.0001623064,0.0002062083,0.0001552878,0.0001615396,0.0001847833,0.0003849196,0.0001618806,0.0002849585,0.001268476],"category_scores_gemma":[0.0006726207,0.0000836765,0.0001545124,0.0001486445,0.0002564483,0.0003938706,0.000183457,0.0001806923,0.0001280707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003023905,"about_ca_system_score_gemma":0.0001713531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008407563,"about_ca_topic_score_gemma":0.0009673162,"domain_scores_codex":[0.9998716,0.00004120648,0.000004328675,0.00001407115,0.00005176175,0.00001706469],"domain_scores_gemma":[0.9998499,0.00008884099,0.0000149044,0.00001703651,0.00002425965,0.000005018207],"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":[0.0004062543,0.00007179224,0.001000811,0.00007840527,0.00003073831,0.0002560696,0.00007713048,0.7124742,0.09348135,0.04445415,0.0007815335,0.1468876],"study_design_scores_gemma":[0.0000179837,0.0001626884,0.0003079578,0.000006080939,0.00001158968,0.0001122638,0.00001737989,0.9703273,0.02033012,0.007078132,0.001618646,0.00001004594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2007495,0.0005058137,0.7919695,0.0001342337,0.0000611924,0.00003479858,0.0000209933,0.000266806,0.006257204],"genre_scores_gemma":[0.9353347,0.0002084027,0.06187226,0.00003874874,0.00003012048,0.00001145965,0.00001279981,0.00001026958,0.002481353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001268476,"threshold_uncertainty_score":0.004243493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5948418185586011,"score_gpt":0.4514091177973974,"score_spread":0.1434327007612037,"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."}}