{"id":"W1588384605","doi":"","title":"Recursive least-squares algorithms with improved numerical stability and constrained least-squares algorithms for multichannel active noise control systems","year":2000,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Algorithm; Recursive least squares filter; Active noise control; Least-squares function approximation; Noise (video); Stability (learning theory); Computational complexity theory; Numerical stability; Mathematics; Computer science; Numerical analysis; Adaptive filter; Noise reduction; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001456514,0.001170429,0.0008988809,0.0007060691,0.0003601192,0.0009692167,0.001141066,0.0016811,0.002486978],"category_scores_gemma":[0.0060773,0.0005070355,0.0006444695,0.001447121,0.0009512324,0.001360668,0.0009665664,0.00235457,0.001512783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000507071,"about_ca_system_score_gemma":0.0008214145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002041131,"about_ca_topic_score_gemma":0.002451247,"domain_scores_codex":[0.9986635,0.0004113611,0.0001015871,0.0002730276,0.0004977114,0.00005279607],"domain_scores_gemma":[0.9982058,0.0008518016,0.0001900602,0.0002125005,0.0005093993,0.00003048957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001331745,0.00007795594,0.0003876685,0.0003705848,0.0001158736,0.0001145542,0.0002154248,0.4404801,0.0128829,0.07690951,0.005200467,0.4631118],"study_design_scores_gemma":[0.00002071136,0.00005465269,0.0001788965,0.00002823094,0.00001862947,0.00008739915,0.00001245676,0.9692242,0.00519355,0.0117305,0.01341652,0.00003423204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001138718,0.001004554,0.9966524,0.0001099396,0.00008782785,0.00001896518,0.00001586663,0.00016049,0.0008111327],"genre_scores_gemma":[0.04882405,0.001514146,0.9440275,0.0001463466,0.0002684098,0.0001519337,0.0001160941,0.0001606874,0.004790723],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002486978,"threshold_uncertainty_score":0.008319736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331046724420128,"score_gpt":0.220001948548131,"score_spread":0.2066914813039298,"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."}}