{"id":"W2145766304","doi":"10.1109/adfsp.1998.685692","title":"Interactive constrained min-max optimization of multi-rate digital filters over the canonical signed-digit coefficient space","year":2002,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Infinite impulse response; Convergence (economics); Rate of convergence; Domain (mathematical analysis); Transfer function; Mathematical optimization; Digital filter; Optimization problem; Process (computing); Software; Algorithm; Mathematics; Filter (signal processing); Programming language; Engineering; Computer vision","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":[0.0001019463,0.0001579717,0.0001492995,0.00008049918,0.00006641106,0.0005568195,0.0004924568,0.00003274397,0.0003275975],"category_scores_gemma":[0.00009393089,0.000111852,0.00008478157,0.0003674272,0.0001345342,0.001488611,0.0001681982,0.00007067068,0.00004296337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005765836,"about_ca_system_score_gemma":0.00004095299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000238811,"about_ca_topic_score_gemma":0.00000695781,"domain_scores_codex":[0.9987986,0.0000553896,0.0003357008,0.0003067082,0.0002571463,0.0002464296],"domain_scores_gemma":[0.9990003,0.0003022465,0.0001599493,0.0003348707,0.0001191902,0.00008346871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002586007,0.004934981,0.001522782,0.0001126337,0.0007698311,0.0001140222,0.02650355,0.3503262,0.01567194,0.1531171,0.08827481,0.3583935],"study_design_scores_gemma":[0.0008778282,0.0002425194,0.0002327751,0.00002060068,0.000007648901,0.00001149778,0.0002978022,0.9896188,0.00726631,0.00007682572,0.001145025,0.0002023891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006465576,0.00001101341,0.9728174,0.0007697137,0.0001855216,0.0003474918,0.00003985345,0.00008094456,0.01928248],"genre_scores_gemma":[0.9855649,0.000002870171,0.01206872,0.0004567215,0.00001396114,0.00001045489,0.00001760402,0.000008996323,0.00185579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9790993,"threshold_uncertainty_score":0.5369424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824296527586781,"score_gpt":0.2586829298434066,"score_spread":0.2304399645675388,"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."}}