{"id":"W2031892245","doi":"10.1109/icccas.2006.284613","title":"A Quick Design of 1-D Stable IIR Filters Using Finite Impulse Response Fitting","year":2006,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Infinite impulse response; Finite impulse response; Digital filter; 2D Filters; Computation; Computer science; Impulse (physics); Filter design; Algorithm; Filter (signal processing); Linear filter; Control theory (sociology); Mathematics; Artificial intelligence","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":[0.0006567221,0.0001110285,0.0001305335,0.0001577743,0.00006988004,0.0001948868,0.0003518244,0.00002573027,0.00003788547],"category_scores_gemma":[0.00006597261,0.0001043919,0.00004739474,0.000409457,0.00002486642,0.001109044,0.0001231803,0.00003819925,0.0000138953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004665788,"about_ca_system_score_gemma":0.0001041628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002666623,"about_ca_topic_score_gemma":0.000003186506,"domain_scores_codex":[0.9987462,0.0001588786,0.0003561448,0.0002382898,0.000224011,0.0002765481],"domain_scores_gemma":[0.9990137,0.0004312843,0.0001332411,0.0003043401,0.00007295173,0.00004454807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005841021,0.0003207308,0.001906711,0.0000662279,0.00004701366,0.00004959452,0.001625781,0.05959932,0.8752326,0.017372,0.01171786,0.03147811],"study_design_scores_gemma":[0.0009515649,0.0004055009,0.002043305,0.00005121165,0.000009582117,0.00001744222,0.0001192832,0.7663978,0.223338,0.005413645,0.0009066258,0.0003459696],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07602479,0.00001245042,0.9224453,0.00009656496,0.0000766044,0.0001661901,0.000005058911,0.00007826593,0.001094802],"genre_scores_gemma":[0.7072173,5.14626e-7,0.2916179,0.0001511194,0.00001744232,0.000003723772,0.000003328646,0.000007686095,0.0009809511],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7067986,"threshold_uncertainty_score":0.4256976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04982631570760924,"score_gpt":0.2775409129032351,"score_spread":0.2277145971956259,"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."}}