{"id":"W2759485015","doi":"10.1109/iscas.2017.8050691","title":"The analytic expression of the output spectrum of ΔΣ ADCs with nonlinear binary-weighted DACs and Gaussian input signals","year":2017,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; École de Technologie Supérieure","funders":"","keywords":"Quantization (signal processing); Delta-sigma modulation; Gaussian; Binary number; Analog signal; Analytic signal; Nonlinear system; Gaussian noise; Noise shaping; Algorithm; Expression (computer science); Mathematics; Computer science; Electronic engineering; Signal processing; Physics; Bandwidth (computing); Digital signal processing; Telecommunications; Engineering","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":[0.0003316863,0.0003165392,0.0001880305,0.0003494256,0.0001458698,0.000480297,0.0003738985,0.0004350695,0.001725452],"category_scores_gemma":[0.002144584,0.0001448595,0.0001941139,0.0002332535,0.0003487537,0.0005803326,0.0001764833,0.0002640711,0.0004871062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537264,"about_ca_system_score_gemma":0.0002722325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118973,"about_ca_topic_score_gemma":0.001241506,"domain_scores_codex":[0.9997982,0.00003632037,0.000009105171,0.00001883979,0.0001230953,0.00001447909],"domain_scores_gemma":[0.9995757,0.0002666063,0.00004089079,0.00002621172,0.00008465313,0.000005998328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001757977,0.00005105219,0.001773976,0.0004828357,0.00006232513,0.0005322058,0.0006086651,0.5452175,0.130565,0.1895193,0.001304941,0.1297064],"study_design_scores_gemma":[0.000005884828,0.00001914797,0.000388434,0.00002819797,0.000008224433,0.0002657401,0.00003362753,0.9738713,0.0128854,0.01118037,0.001305674,0.000008043099],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07003321,0.000614019,0.91594,0.0001693017,0.00003047386,0.00003186921,0.0001039465,0.0003766795,0.01270051],"genre_scores_gemma":[0.9161335,0.000654305,0.0788028,0.00006788759,0.0000267678,0.00003347267,0.00008058429,0.00007476513,0.004125861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001725452,"threshold_uncertainty_score":0.005772233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149254900200021,"score_gpt":0.2107158456783101,"score_spread":0.1992232966763098,"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."}}