{"id":"W4241673358","doi":"10.22215/etd/2009-06310","title":"Continuous compensation of binary-weighted DAC nonlinearities in bandpass delta-sigma modulators","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Delta-sigma modulation; Compensation (psychology); Binary number; Physics; Computer science; Mathematics; Telecommunications; Arithmetic; Psychology; Bandwidth (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001566007,0.0003472342,0.0006645659,0.0004735604,0.00003327295,0.00002512061,0.0001773358,0.000438626,0.0001250291],"category_scores_gemma":[0.00001581961,0.0003591463,0.000129309,0.0003072327,0.00002183084,0.0001225329,0.00000386863,0.0003344698,0.00001204612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009605232,"about_ca_system_score_gemma":0.00006305883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006575579,"about_ca_topic_score_gemma":0.002197989,"domain_scores_codex":[0.9985056,0.00004459341,0.0006495219,0.0002485998,0.0002646642,0.0002870031],"domain_scores_gemma":[0.9993994,0.00006677383,0.0001165542,0.0002138448,0.0001396043,0.00006378748],"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":[0.001208717,0.00207859,0.00952831,0.009206176,0.002379274,0.0006602186,0.01550243,0.2318194,0.220383,0.2255649,0.04169806,0.239971],"study_design_scores_gemma":[0.009139135,0.001780657,0.2705086,0.00461431,0.001050411,0.00004400112,0.01364612,0.4839959,0.1704419,0.03129564,0.005931733,0.007551596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463292,0.0018258,0.01485284,0.000003148849,0.0006489818,0.0005552984,0.0000708783,0.0003517863,0.03536204],"genre_scores_gemma":[0.9945987,0.000159534,0.0001289676,0.00001710244,0.00007605566,0.00001781705,0.00270124,0.00006073856,0.002239775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2609803,"threshold_uncertainty_score":0.999886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008277437650887407,"score_gpt":0.2148691808595259,"score_spread":0.2065917432086385,"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."}}