{"id":"W2149667998","doi":"10.1109/spawc.2001.923921","title":"Discretization-free method for designing variable fractional delay 2-D FIR filters","year":2002,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Mathematics; Finite impulse response; Variable (mathematics); Discretization; Weighting; Function (biology); Digital filter; Filter (signal processing); Applied mathematics; Algorithm; Mathematical analysis; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002461348,0.0001030498,0.00008991038,0.00008170911,0.000150909,0.0003572433,0.0005091752,0.00003126946,0.000553125],"category_scores_gemma":[0.0001077433,0.00009469188,0.00004916539,0.0002757553,0.000009276578,0.001613804,0.0000947541,0.00003923268,0.0000456848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003884014,"about_ca_system_score_gemma":0.00001890773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001886372,"about_ca_topic_score_gemma":0.000002210557,"domain_scores_codex":[0.9990327,0.00004065525,0.0002078969,0.0002850166,0.0002077089,0.000225991],"domain_scores_gemma":[0.9990845,0.0003746003,0.00006532291,0.0003182834,0.00008656215,0.00007071167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007976061,0.00009275937,0.0001046788,0.00001691411,0.00004730549,0.000001702934,0.0003985279,0.001571732,0.00411548,0.6604069,0.2703899,0.06284614],"study_design_scores_gemma":[0.0006533245,0.0001209245,0.00007764484,0.000008313934,0.000008413765,0.00001523386,0.00003078116,0.8956928,0.004343295,0.0550465,0.04379304,0.0002097391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000007361627,0.0000121567,0.9726841,0.00117875,0.0002198672,0.0002389268,0.00001516532,0.0001413963,0.0255022],"genre_scores_gemma":[0.007113418,0.000002175556,0.9856308,0.001399484,0.00006037441,0.00007078581,0.00003048087,0.000009686051,0.005682824],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8941211,"threshold_uncertainty_score":0.6056331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04423565354949145,"score_gpt":0.2906730610785855,"score_spread":0.246437407529094,"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."}}