{"id":"W2039361189","doi":"10.1121/1.4778107","title":"Multichannel active noise control and acoustic equalization using fast affine projection algorithms","year":2002,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Algorithm; Computational complexity theory; Convergence (economics); Active noise control; Computer science; Projection (relational algebra); Adaptive filter; Noise (video); Affine transformation; Rate of convergence; Mathematics; Noise reduction; Key (lock); 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":[0.0001808749,0.0001384723,0.0002500424,0.00002419351,0.0001169228,0.00001076817,0.0001942394,0.00005979601,0.00001314383],"category_scores_gemma":[0.000148259,0.00008413222,0.0001259911,0.0002016411,0.000286854,0.0001483461,0.0000585906,0.0003203851,4.691351e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001227134,"about_ca_system_score_gemma":0.000008264966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001274508,"about_ca_topic_score_gemma":2.040621e-7,"domain_scores_codex":[0.999144,0.00007057487,0.0003003744,0.00006700034,0.0002432446,0.0001748258],"domain_scores_gemma":[0.9991578,0.0002598749,0.0002459369,0.0001391123,0.0001503735,0.00004686736],"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":[0.00004240952,0.00004754532,0.000006636719,0.00004425805,0.0001334528,4.972965e-7,0.001216234,0.6276539,0.3457159,0.000001009893,0.0005403459,0.02459786],"study_design_scores_gemma":[0.0003536977,0.0001285597,0.0001486857,0.00008847583,0.0001889117,0.00005329734,0.0007735693,0.9919152,0.006056905,0.0001295751,0.00006952828,0.00009360242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01165597,0.0002014665,0.9875391,0.0002073691,0.000129135,0.0001811608,0.00001394892,0.000049337,0.00002253336],"genre_scores_gemma":[0.9012114,0.0004709923,0.09800822,0.0001059673,0.0001578636,0.000001732195,1.717135e-7,0.00002612971,0.00001755682],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8895554,"threshold_uncertainty_score":0.3430812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016257460268279,"score_gpt":0.251295970109958,"score_spread":0.2311333955072752,"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."}}