{"id":"W2087251633","doi":"10.1007/s11045-007-0033-0","title":"Separate/joint optimization of error feedback and realization for roundoff noise minimization in a class of 2-D state-space digital filters","year":2007,"lang":"en","type":"article","venue":"Multidimensional Systems and Signal Processing","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Realization (probability); Mathematics; Norm (philosophy); Optimization problem; Round-off error; Digital filter; Mathematical optimization; Noise (video); Minification; Control theory (sociology); Algorithm; Computer science; Filter (signal processing); 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":[0.000363742,0.0001546852,0.0003093426,0.0001831347,0.00005674953,0.0000392543,0.00002772194,0.0000928961,0.000001315785],"category_scores_gemma":[0.00002560569,0.0001479198,0.00002969443,0.0001960001,0.00005611483,0.0003374917,0.00001052094,0.00005487496,1.590302e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004771504,"about_ca_system_score_gemma":0.0000359444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005959764,"about_ca_topic_score_gemma":0.00001088375,"domain_scores_codex":[0.998872,0.00002109744,0.0005504073,0.0001906078,0.0001788044,0.0001871297],"domain_scores_gemma":[0.9993924,0.0001093143,0.0001800244,0.00004944169,0.0002001325,0.00006869931],"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":[0.0001259399,0.00003576753,0.001013124,0.0009325105,0.00002000639,0.000002239625,0.0007498325,0.9560245,0.03802143,0.0005820111,0.00003999457,0.002452593],"study_design_scores_gemma":[0.001062554,0.00009361542,0.0009996985,0.0005574665,0.00001866881,0.00001141942,0.0006183044,0.9915227,0.004778151,0.000106365,0.0000482846,0.0001827147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.258177,0.001020184,0.7402997,0.000002434975,0.00003840323,0.0003234373,0.00002795222,0.00002439858,0.00008652161],"genre_scores_gemma":[0.9985502,0.00002348651,0.00123849,0.000004436607,0.00002216646,0.00001082876,0.00007092464,0.00002670836,0.00005271538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7403733,"threshold_uncertainty_score":0.6031996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322812777258882,"score_gpt":0.2417162510017903,"score_spread":0.2184881232292014,"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."}}