{"id":"W2110961167","doi":"10.1109/icosp.2000.893482","title":"Adaptive beamforming using affine projection algorithms","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Decorrelation; Algorithm; Robustness (evolution); Smoothing; Rate of convergence; Affine transformation; Computer science; Computational complexity theory; Mathematics; Convergence (economics); Adaptive filter; Mathematical optimization; Key (lock)","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":[0.0005185496,0.000739961,0.0004754352,0.0003818825,0.0002421661,0.0006909533,0.0004953284,0.0005348399,0.002811377],"category_scores_gemma":[0.001958537,0.0003123566,0.0003939789,0.0008951852,0.0004552187,0.001037558,0.0007175868,0.0006415531,0.001325113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001942898,"about_ca_system_score_gemma":0.0004411358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006917155,"about_ca_topic_score_gemma":0.0008445366,"domain_scores_codex":[0.9995878,0.0001289055,0.00002483292,0.00007535231,0.0001648147,0.0000183838],"domain_scores_gemma":[0.9995433,0.0001913949,0.00004142155,0.00006229358,0.0001468753,0.00001467447],"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":[0.0001098811,0.00002947539,0.0004037191,0.0001460012,0.00007982679,0.0001003166,0.00008169599,0.18486,0.03866817,0.08787272,0.002552191,0.685096],"study_design_scores_gemma":[0.00003352275,0.0001005493,0.0003650401,0.00001831902,0.00003006788,0.0002950971,0.00001647254,0.9321641,0.01610541,0.03573581,0.01510257,0.00003310945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001050856,0.000117795,0.9977959,0.00002670096,0.00001228075,0.000008699489,0.000008086397,0.0001302007,0.0008494518],"genre_scores_gemma":[0.07792258,0.001429298,0.9151056,0.00008588746,0.00009430399,0.0001284607,0.0001260173,0.00007377917,0.005034033],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002811377,"threshold_uncertainty_score":0.009404957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06167401189724084,"score_gpt":0.2435242755473235,"score_spread":0.1818502636500826,"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."}}