{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003532286,0.0001325967,0.0001122766,0.00007993523,0.0001393818,0.0004769003,0.0004253015,0.00002980632,0.000006190452],"category_scores_gemma":[0.00004727115,0.0000740858,0.00005163264,0.0003338721,0.00005912397,0.000750528,0.00008189768,0.0000416383,8.688689e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002394175,"about_ca_system_score_gemma":0.00003421353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001324087,"about_ca_topic_score_gemma":7.422539e-7,"domain_scores_codex":[0.99909,0.00002015999,0.0002272678,0.0002379013,0.0002161862,0.0002085414],"domain_scores_gemma":[0.9990795,0.0003590774,0.0001092264,0.0003261517,0.00009342737,0.0000326598],"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":[0.0003003209,0.0009467734,0.0001913631,0.00005788683,0.0001429979,0.000002229708,0.006263916,0.6694235,0.1036196,0.1425681,0.01920714,0.05727621],"study_design_scores_gemma":[0.0007645476,0.0004082198,0.0005056091,0.00001820017,0.00001054914,0.00001210589,0.0001666672,0.9660463,0.03028527,0.0006879901,0.0009485817,0.0001459357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003405321,0.00002264815,0.9966347,0.0006989888,0.00005021604,0.001558934,0.00002207841,0.00005181348,0.0006201266],"genre_scores_gemma":[0.7733195,0.000006250975,0.2255385,0.0006199908,0.00001385155,0.00008296075,0.000008633046,0.00000902183,0.0004013526],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.772979,"threshold_uncertainty_score":0.4598761,"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."}}