{"id":"W3163716269","doi":"10.1109/icassp39728.2021.9413983","title":"Robust Recursive Least M-Estimate Adaptive Filter for the Identification of Low-Rank Acoustic Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"National Key Research and Development Program of China; National Science Foundation","keywords":"Adaptive filter; Impulse noise; Gaussian noise; Gaussian; Algorithm; Computer science; Estimator; Mathematics; Finite impulse response; Noise (video); Kronecker delta; Control theory (sociology); Artificial intelligence; Statistics; Physics","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":[0.0008688453,0.0006279462,0.0007970387,0.0005131471,0.0003569975,0.0005150705,0.0007238004,0.0009234832,0.001256526],"category_scores_gemma":[0.003551952,0.0002735922,0.0005745359,0.0005575051,0.0004367322,0.0007481053,0.0004757953,0.001056307,0.000716301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003703912,"about_ca_system_score_gemma":0.0009290074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003142264,"about_ca_topic_score_gemma":0.003778738,"domain_scores_codex":[0.9994544,0.0001692275,0.00003035793,0.0001185954,0.0001939565,0.00003334748],"domain_scores_gemma":[0.9993781,0.0003336916,0.00008070764,0.00006048575,0.000135012,0.00001206503],"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":[0.0002124547,0.00006928769,0.001087378,0.0002567708,0.0001484138,0.0001510356,0.000205186,0.46979,0.04845315,0.04147081,0.002416387,0.4357392],"study_design_scores_gemma":[0.000004653077,0.00002899618,0.0002484969,0.00000737337,0.000007455961,0.00003211949,0.000005359593,0.9931125,0.002853608,0.002427952,0.001258304,0.00001311893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002242341,0.0001730997,0.9972031,0.00002111192,0.0000125929,0.000006895862,0.000007949064,0.0001319673,0.0002009035],"genre_scores_gemma":[0.2140141,0.0006369857,0.7811345,0.0001000269,0.00007967202,0.0001336054,0.0001781599,0.000109827,0.003613096],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003142264,"threshold_uncertainty_score":0.006247938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03431354411256343,"score_gpt":0.2540177576535582,"score_spread":0.2197042135409948,"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."}}