{"id":"W1946480708","doi":"10.1109/icecs.1998.814911","title":"Design of stable 2-D recursive filters using power-of-two coefficients","year":2002,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Control theory (sociology); Quantization (signal processing); Filter design; All-pass filter; Filter (signal processing); Algorithm; Prototype filter; Low-pass filter; Digital filter; Computer science; Recursive filter; Network synthesis filters; Mathematics; Adaptive filter; Filtering theory; High-pass filter; Root-raised-cosine filter; Electronic engineering; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005153998,0.0005500664,0.0003884161,0.0003472432,0.0003298007,0.0006928345,0.0006534529,0.0005806731,0.001551787],"category_scores_gemma":[0.001322953,0.0003229099,0.0002891143,0.0003184978,0.0003567279,0.0006231118,0.000325457,0.0003987027,0.0006034467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004804224,"about_ca_system_score_gemma":0.0005737306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265286,"about_ca_topic_score_gemma":0.003097349,"domain_scores_codex":[0.9997287,0.00004910427,0.00002137956,0.00005603916,0.0001160427,0.00002866082],"domain_scores_gemma":[0.9996444,0.0001201863,0.00005667517,0.00004118251,0.0001227177,0.00001480945],"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":[0.000343057,0.00009441591,0.001087887,0.0002769898,0.0001077795,0.0002055649,0.000440522,0.1693683,0.2808248,0.05916737,0.001980294,0.4861029],"study_design_scores_gemma":[0.0001665572,0.0004167111,0.0007678541,0.00003088613,0.00005474867,0.0001999244,0.00004148513,0.8912007,0.08474685,0.009748429,0.01258008,0.0000458507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008259243,0.00006688869,0.9908361,0.00002480969,0.00001432532,0.00003420353,0.00001216742,0.0001897295,0.0005625422],"genre_scores_gemma":[0.2386808,0.0001813926,0.7587669,0.00006979136,0.0000260304,0.0001893414,0.00006322833,0.00005390925,0.001968518],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001551787,"threshold_uncertainty_score":0.005191207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09181325747262771,"score_gpt":0.2955656532265739,"score_spread":0.2037523957539462,"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."}}