{"id":"W2167520777","doi":"10.1109/mwscas.1995.510182","title":"Closed form solution of granular quantization error for multi-loop sigma-delta modulator configurations","year":2002,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Delta-sigma modulation; Quantization (signal processing); Sigma; Control theory (sociology); Delta modulation; Loop (graph theory); Closed loop; Physics; Electronic engineering; Computer science; Topology (electrical circuits); Mathematics; Engineering; Algorithm; Bandwidth (computing); Electrical engineering; Control engineering; Artificial intelligence; Telecommunications; Quantum mechanics; Voltage","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009637048,0.0003859755,0.0005805159,0.0002893848,0.0002869353,0.001064759,0.0006466185,0.001042854,0.00289871],"category_scores_gemma":[0.004870574,0.0002260823,0.0002383487,0.0003181539,0.0005501056,0.0009672191,0.0006482756,0.0007565045,0.000385754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005479481,"about_ca_system_score_gemma":0.000446914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005170975,"about_ca_topic_score_gemma":0.0008918892,"domain_scores_codex":[0.999569,0.00009008331,0.00001902797,0.00006359089,0.00023098,0.00002738179],"domain_scores_gemma":[0.9986631,0.000837085,0.0001175521,0.00009960899,0.0002613578,0.00002136682],"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":[0.0002213918,0.00006621199,0.001002921,0.0003082931,0.00003950043,0.0002883699,0.0003997626,0.719542,0.02580905,0.1559918,0.001297279,0.09503335],"study_design_scores_gemma":[0.00001212508,0.00002480214,0.00009518336,0.00001420866,0.000003136341,0.0000597904,0.00002163731,0.9836792,0.00269158,0.01283962,0.0005502488,0.000008398937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02458997,0.0002743618,0.9714361,0.0001024249,0.00002504709,0.00002660174,0.00002353583,0.0001390472,0.003383025],"genre_scores_gemma":[0.7447454,0.000449733,0.2488128,0.00008713127,0.00003347731,0.0001161892,0.00008123595,0.0001087267,0.005565324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00289871,"threshold_uncertainty_score":0.009697199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07181546069546756,"score_gpt":0.2569856299657748,"score_spread":0.1851701692703072,"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."}}