{"id":"W2170682475","doi":"10.1109/iscas.2009.5117788","title":"A novel technique for the design and DCGA optimization of guaranteed BIBO stable Jaumann digital IF filters over the CSD multiplier coefficient space","year":2009,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"BIBO stability; Digital filter; Multiplier (economics); Filter design; Prototype filter; Control theory (sociology); Mathematics; Algorithm; Bilinear transform; Network synthesis filters; Filter (signal processing); Adaptive filter; Computer science; Electronic engineering; Engineering; Physics; Nonlinear system","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":[0.0001867329,0.0002643394,0.00016589,0.0002915579,0.0002474482,0.0003523755,0.0002973305,0.00020561,0.001264058],"category_scores_gemma":[0.0005501479,0.0001265334,0.0001722331,0.0002724236,0.0002531701,0.0002176226,0.0002963007,0.0003710807,0.0002317664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002818325,"about_ca_system_score_gemma":0.0004912147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004020902,"about_ca_topic_score_gemma":0.0009361379,"domain_scores_codex":[0.999892,0.00001500382,0.000006688733,0.00001739735,0.00005833602,0.00001057605],"domain_scores_gemma":[0.9998686,0.00003681016,0.00003121879,0.0000191634,0.00003737293,0.000006739454],"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":[0.0001840436,0.0000777402,0.001283233,0.0002532379,0.00003549843,0.0001173417,0.0002394802,0.1269207,0.4501748,0.06839074,0.001069452,0.3512537],"study_design_scores_gemma":[0.00008773027,0.0006347196,0.001052769,0.00004595788,0.00003916655,0.0005476103,0.00007196565,0.7459404,0.2177434,0.01041056,0.02338367,0.00004199838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02722314,0.000087111,0.9680622,0.00006022975,0.00001942667,0.00003265114,0.00002165013,0.0001495337,0.00434409],"genre_scores_gemma":[0.4324954,0.0001155123,0.5648504,0.00005521919,0.00001504446,0.00007536478,0.00005764047,0.00003728568,0.002298179],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001264058,"threshold_uncertainty_score":0.004228711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870567836650461,"score_gpt":0.2622897027761961,"score_spread":0.2335840244096915,"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."}}