{"id":"W2144743484","doi":"10.1109/iembs.2008.4649139","title":"Performance analysis of approximate Affine Projection Algorithm in acoustic feedback cancellation","year":2008,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Speech recognition; Audio feedback; Projection (relational algebra); Algorithm; Affine transformation; Speech processing; Mathematics; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001210641,0.0005566974,0.0005008405,0.0003528045,0.0002825751,0.000649959,0.0003519422,0.0006137781,0.001307854],"category_scores_gemma":[0.006020621,0.0001880381,0.000219701,0.0003565999,0.0004378394,0.0006793374,0.0004580908,0.0004719761,0.0003286582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002694638,"about_ca_system_score_gemma":0.0006610898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002350966,"about_ca_topic_score_gemma":0.00120533,"domain_scores_codex":[0.9990403,0.0003245282,0.00004298826,0.0001055297,0.0004087446,0.00007783649],"domain_scores_gemma":[0.996763,0.002151662,0.0001628402,0.0001617955,0.0007067483,0.00005399351],"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":[0.001523412,0.000119043,0.004799253,0.000248048,0.0001876206,0.0001514237,0.0002334958,0.6385481,0.08370462,0.008977917,0.0005119316,0.2609951],"study_design_scores_gemma":[0.000009234777,0.0001517393,0.0008150257,0.000004091764,0.000009990947,0.00006702997,0.00001311523,0.9886523,0.009495198,0.0005410629,0.0002289455,0.00001224957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2179182,0.0007625964,0.7784622,0.00005683142,0.0000298642,0.00004650014,0.00004359611,0.0004907243,0.002189463],"genre_scores_gemma":[0.8547917,0.0003520292,0.1433417,0.00002407939,0.00001825968,0.00005430205,0.0001084213,0.00003849432,0.001270979],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002350966,"threshold_uncertainty_score":0.006402552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015592131779504,"score_gpt":0.2235451411602503,"score_spread":0.2079530093807463,"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."}}