{"id":"W2138364821","doi":"10.1109/icassp.1996.547981","title":"A new family of EVD tracking algorithms using Givens rotations","year":2002,"lang":"en","type":"article","venue":"","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Orthonormality; Algorithm; Eigenvalues and eigenvectors; Computer science; Covariance matrix; Convergence (economics); Tracking (education); QR decomposition; Eigendecomposition of a matrix; Orthonormal basis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009799621,0.00006674307,0.0001189788,0.0001635054,0.00004324916,0.00003610246,0.0002951774,0.00003171245,0.00007819881],"category_scores_gemma":[0.00005106666,0.00006683797,0.00005371037,0.0005374681,0.00002326634,0.0005399473,0.00005152462,0.00004451327,0.00000839696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002469126,"about_ca_system_score_gemma":0.0000353957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003777753,"about_ca_topic_score_gemma":0.000004451006,"domain_scores_codex":[0.999262,0.00002342046,0.0002614783,0.0001466539,0.0002079764,0.00009850629],"domain_scores_gemma":[0.9993538,0.00006456389,0.0001328997,0.0002507785,0.0001529284,0.00004502184],"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":[9.520031e-7,0.0001322067,0.0002907552,0.00002850979,0.00002704636,0.00000240258,0.002394039,0.002252794,0.04996623,0.06246325,0.0028531,0.8795887],"study_design_scores_gemma":[0.0001194486,0.00005151816,0.001883834,0.00005160083,0.000006886043,0.000007985149,0.00003220643,0.8903846,0.1015239,0.005517064,0.0003118327,0.0001091262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004187361,0.00004450663,0.9853713,0.0001151151,0.0001058672,0.0001018427,0.000001014795,0.0002406234,0.009832403],"genre_scores_gemma":[0.2798548,0.000005044201,0.719806,0.00003172229,0.00001250489,0.000001875432,1.972907e-7,0.000004165764,0.0002836433],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8881317,"threshold_uncertainty_score":0.2725573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08301519700287781,"score_gpt":0.3019909743894675,"score_spread":0.2189757773865897,"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."}}