{"id":"W2120587426","doi":"10.1109/newcas.2011.5981255","title":"Maximizing the signal/alias ratio in non-uniform filter banks for acoustic echo cancellation","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Echo (communications protocol); Return loss; Bandwidth (computing); Adaptive filter; Computer science; Filter bank; Group delay and phase delay; Anti-aliasing filter; Filter (signal processing); Alias; Root-raised-cosine filter; Filter design; Electronic engineering; Acoustics; Telecommunications; Algorithm; Digital filter; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001251732,0.0001391289,0.0001169679,0.00007137331,0.00004358742,0.00001624369,0.0001558625,0.00006346109,0.0001319385],"category_scores_gemma":[0.00001395531,0.000108095,0.0000371915,0.0001012441,0.00002056177,0.0001963315,0.00002077451,0.0001275599,0.000007721953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001150893,"about_ca_system_score_gemma":0.000007893135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005650252,"about_ca_topic_score_gemma":0.0002003464,"domain_scores_codex":[0.9993693,0.000006433302,0.0001967239,0.0001319589,0.00006768286,0.000227874],"domain_scores_gemma":[0.9996459,0.0000681369,0.00002736269,0.0002007755,0.00003271556,0.00002510643],"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":[0.0001427811,0.00006871315,0.0009127737,0.0004256728,0.00009414376,0.00001596201,0.006302772,0.5795403,0.3160911,0.005524373,0.006772092,0.08410928],"study_design_scores_gemma":[0.0002697665,0.00006269065,0.002715241,0.000063703,0.00001157654,0.000002568041,0.0001220005,0.8040834,0.1866312,0.004850044,0.000900042,0.0002877213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005033114,0.00002285326,0.9773411,0.0000160281,0.0001048195,0.0005074962,0.000007501677,0.0003737863,0.01659332],"genre_scores_gemma":[0.8650233,0.00001499991,0.1343158,0.00004144983,0.00005025295,0.000177605,0.00000475297,0.00003058984,0.0003412573],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8599902,"threshold_uncertainty_score":0.4407987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03610087782042686,"score_gpt":0.237353559408621,"score_spread":0.2012526815881941,"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."}}