{"id":"W2127203855","doi":"10.1109/iscas.2000.857103","title":"Design of stable minimax IIR digital filters using semidefinite programming","year":2000,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Semidefinite programming; Minimax; Infinite impulse response; Linear matrix inequality; Mathematical optimization; Stability (learning theory); Computer science; Constraint (computer-aided design); Digital filter; Linear programming; Finite impulse response; 2D Filters; Mathematics; Filter (signal processing); Algorithm","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":[0.001403303,0.0007682563,0.0007923304,0.0003014251,0.0002807337,0.0008924217,0.0006175049,0.0007182026,0.00222185],"category_scores_gemma":[0.002326257,0.0004544989,0.0004736283,0.0003860058,0.000682287,0.000588902,0.0005949541,0.001010515,0.0005485731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003212647,"about_ca_system_score_gemma":0.0006221446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000337118,"about_ca_topic_score_gemma":0.0004916223,"domain_scores_codex":[0.9994825,0.0001844901,0.00003313883,0.000105999,0.0001565044,0.00003733809],"domain_scores_gemma":[0.9990146,0.0006237734,0.0001354767,0.00005226607,0.0001482297,0.00002556905],"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":[0.0001694983,0.00008009695,0.0002866829,0.0002800977,0.00006238909,0.0001469057,0.0001692144,0.812166,0.02558558,0.06476263,0.001746887,0.09454405],"study_design_scores_gemma":[0.0000311776,0.0001031975,0.00003801664,0.00001071723,0.000006504396,0.00003307372,0.000009576602,0.9870771,0.003288402,0.008336133,0.001058798,0.00000741767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003610222,0.00003804436,0.9950876,0.00004355406,0.000007169584,0.00001828418,0.00001448373,0.0000832601,0.001097421],"genre_scores_gemma":[0.4362003,0.000313247,0.5584964,0.0001751201,0.00004040892,0.0004375278,0.0001180797,0.0001108148,0.004108126],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00222185,"threshold_uncertainty_score":0.007432818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05974676226214511,"score_gpt":0.2692330892319443,"score_spread":0.2094863269697992,"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."}}