{"id":"W1915241179","doi":"10.1109/icassp.2000.861878","title":"Algebraic theory of optimal filter banks","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 Toronto","funders":"","keywords":"Majorization; Mathematics; Algebraic number; Filter bank; Filter (signal processing); Element (criminal law); Coding gain; Discrete mathematics; Coding (social sciences); Mathematical optimization; Computer science; Mathematical analysis","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":[0.0006237163,0.0004181692,0.0004332287,0.0009473157,0.0005100644,0.001595629,0.0004325226,0.0004449299,0.003297639],"category_scores_gemma":[0.002400464,0.0002346114,0.000456434,0.0008676027,0.001511149,0.001670083,0.0007813307,0.0009324289,0.0005242117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067988,"about_ca_system_score_gemma":0.0005571778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006165501,"about_ca_topic_score_gemma":0.0005936366,"domain_scores_codex":[0.9992892,0.0001751109,0.00004333609,0.000100469,0.0003209744,0.00007094201],"domain_scores_gemma":[0.9991768,0.0003089738,0.0001441829,0.00005840286,0.0002635406,0.00004810571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001665282,0.00001059907,0.0001275009,0.00003901586,0.000009247789,0.00002999734,0.00004905277,0.02125211,0.002019119,0.9632018,0.0005911139,0.01265389],"study_design_scores_gemma":[0.00001572314,0.00007692282,0.0002575205,0.00001941841,0.00001401374,0.0001228334,0.00005837905,0.149804,0.002276837,0.8370305,0.01030439,0.00001941955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04359472,0.0008494023,0.9252967,0.0005958908,0.00007386315,0.00003711303,0.0001714689,0.0001025153,0.02927826],"genre_scores_gemma":[0.7681569,0.00221668,0.2147285,0.0003357658,0.000500766,0.0002017487,0.0003632544,0.00008231653,0.01341404],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003297639,"threshold_uncertainty_score":0.01103169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04533736579848008,"score_gpt":0.2380360531466036,"score_spread":0.1926986873481236,"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."}}