{"id":"W2108216980","doi":"10.1109/tcsi.2008.925364","title":"On the Design of Undersampling Continuous-Time Bandpass Delta–Sigma Modulators for Gigahertz Frequency A/D Conversion","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"CMC Microsystems","keywords":"Undersampling; Delta-sigma modulation; Electronic engineering; Band-pass filter; Oversampling; CMOS; Spurious relationship; Bandwidth (computing); Spurious-free dynamic range; Computer science; Sampling (signal processing); SIGNAL (programming language); Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004230424,0.0002899624,0.0004376921,0.0001513297,0.0004276645,0.00003154664,0.0001615026,0.000201232,0.00003744425],"category_scores_gemma":[0.00001563768,0.000227902,0.0001871027,0.0001720244,0.0001490241,0.00009228422,4.548679e-7,0.0001946635,0.00001002001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009769353,"about_ca_system_score_gemma":0.00005510578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005163509,"about_ca_topic_score_gemma":0.000002109398,"domain_scores_codex":[0.9985367,0.0001380017,0.0004038241,0.0003059248,0.0002837185,0.0003318057],"domain_scores_gemma":[0.9986912,0.0006775751,0.00008415063,0.0003132806,0.00008409064,0.0001497054],"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":[0.00005570285,0.0001086776,0.0000203817,0.000367924,0.0007150699,0.00001852554,0.001243951,0.7421637,0.2389452,0.01029452,0.001434222,0.004632154],"study_design_scores_gemma":[0.01204667,0.004923579,0.0003402042,0.003080741,0.0015406,0.00084032,0.007126112,0.7286689,0.2262066,0.006222622,0.00421528,0.004788417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04168697,0.0004842356,0.9554752,0.00001406548,0.0004905611,0.0009302268,0.00006168604,0.0001470085,0.0007100581],"genre_scores_gemma":[0.9991688,0.0001503787,0.00002603403,0.00005167545,0.00004137005,0.00009534034,0.000004467522,0.00006236543,0.0003995954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9574818,"threshold_uncertainty_score":0.9293575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759228505344561,"score_gpt":0.1922862136333685,"score_spread":0.1646939285799229,"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."}}