{"id":"W2106590942","doi":"10.1109/cicc.2007.4405748","title":"A Sample-Time Error Compensation Technique for Time-Interleaved ADC Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Spurious-free dynamic range; Computer science; Electronic engineering; Compensation (psychology); Bit error rate; Channel (broadcasting); Sampling (signal processing); Dynamic range; Sample and hold; Telecommunications; Electrical engineering; Detector; Engineering; Electronic circuit","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":[0.0005051965,0.0004196005,0.000320835,0.0006431693,0.000359955,0.0005323929,0.0008440298,0.0005326074,0.001411908],"category_scores_gemma":[0.002014768,0.0002103751,0.0001718809,0.0007242023,0.0002789574,0.0007875687,0.0002631954,0.0007830189,0.0005540142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003822265,"about_ca_system_score_gemma":0.0005453811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007392711,"about_ca_topic_score_gemma":0.001263233,"domain_scores_codex":[0.9992661,0.00009198174,0.00004790549,0.00009009398,0.000466728,0.00003723678],"domain_scores_gemma":[0.999007,0.0002279781,0.00014405,0.0001765837,0.0004142854,0.00002994344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004772105,0.0001011912,0.0006999698,0.0002520805,0.00004720398,0.0002000557,0.0001804155,0.00667053,0.5439269,0.007285538,0.001366189,0.4387927],"study_design_scores_gemma":[0.00008012401,0.000648456,0.001616905,0.00005148615,0.00007614503,0.001888459,0.00003186955,0.1335361,0.8308443,0.001398816,0.02975645,0.00007099325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02862522,0.001002785,0.9666715,0.0001279018,0.0001531048,0.00008108128,0.00004174678,0.001309747,0.00198701],"genre_scores_gemma":[0.402365,0.0007435319,0.5920087,0.0001492534,0.0001106347,0.00007132717,0.0001351082,0.00006979611,0.004346635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001411908,"threshold_uncertainty_score":0.00472331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760765957635098,"score_gpt":0.2359258408732551,"score_spread":0.2183181812969041,"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."}}