{"id":"W2049883627","doi":"10.1109/ecctd.2013.6662277","title":"Jointly optimal high-order error feedback and realization for roundoff noise minimization in 2-D state-space digital filters","year":2013,"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 Victoria","funders":"","keywords":"Realization (probability); Noise (video); Minification; Computer science; Algorithm; Digital filter; Optimization problem; Mathematical optimization; Filter (signal processing); Mathematics; 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0000758647,0.0001427968,0.0001300371,0.000151003,0.00005094997,0.001248121,0.0001873977,0.00003453184,0.00003122469],"category_scores_gemma":[0.00004885142,0.0001329762,0.0000233598,0.0003316021,0.0000264049,0.004905388,0.00009289256,0.00003020069,0.00002987721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004844026,"about_ca_system_score_gemma":0.00003786214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001830401,"about_ca_topic_score_gemma":0.00003891011,"domain_scores_codex":[0.998923,0.0000204081,0.0002912563,0.0003468642,0.0001587855,0.0002597056],"domain_scores_gemma":[0.9994141,0.00007351029,0.00008686709,0.0001879399,0.000153403,0.00008416276],"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":[0.0002459227,0.0009628687,0.01448948,0.0003367018,0.0001290011,0.00001101908,0.01218195,0.02616669,0.01063395,0.2180977,0.1238322,0.5929125],"study_design_scores_gemma":[0.004423313,0.0007728475,0.03642636,0.00005153601,0.000009008297,0.00001079281,0.0006437441,0.9295776,0.005324932,0.01833933,0.003628499,0.0007920721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08926623,0.000006226963,0.9074576,0.001210153,0.0001099299,0.0007184035,0.00001797795,0.00008513131,0.00112835],"genre_scores_gemma":[0.8661247,0.000008460598,0.1294396,0.0004476733,0.0000223003,0.000121826,0.0002276085,0.00001944106,0.003588436],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9034109,"threshold_uncertainty_score":0.9997887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793481372791168,"score_gpt":0.2440258556154116,"score_spread":0.2260910418874999,"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."}}