{"id":"W2534732770","doi":"10.1109/acssc.2006.355175","title":"Robust Minimum Variance Beamforming with Dual Response Constraints","year":2006,"lang":"en","type":"article","venue":"","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Robustness (evolution); Control theory (sociology); Beamforming; Adaptive beamformer; Computer science; Constraint (computer-aided design); Diagonal; Filter (signal processing); Mathematical optimization; Mathematics; Algorithm; Telecommunications","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":[0.001037627,0.001269109,0.001008667,0.0003690754,0.0002553134,0.001204023,0.0007447564,0.001353166,0.003043522],"category_scores_gemma":[0.005160078,0.0005076487,0.0005545483,0.0006657242,0.0006237553,0.001032315,0.001284931,0.0009913122,0.001258388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004017082,"about_ca_system_score_gemma":0.0008465762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006721273,"about_ca_topic_score_gemma":0.0005568959,"domain_scores_codex":[0.9985998,0.0004644981,0.00007914632,0.0002429465,0.000489284,0.0001243162],"domain_scores_gemma":[0.9986088,0.0007209392,0.0001997212,0.0001361004,0.0002906301,0.00004382848],"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":[0.0004550278,0.0001063836,0.0006900764,0.0003482325,0.00009226848,0.0003291164,0.0001575137,0.7006249,0.04643875,0.1192063,0.00374074,0.1278108],"study_design_scores_gemma":[0.00005616799,0.0001205927,0.0001714574,0.00002455033,0.00001315592,0.0001794341,0.0000209007,0.97082,0.009651071,0.01583695,0.003074386,0.00003139796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004298826,0.00005961269,0.9937654,0.0001007228,0.00001450872,0.00001668489,0.00004239927,0.00008070798,0.001621061],"genre_scores_gemma":[0.3532059,0.0004547178,0.6379104,0.0003028461,0.0001159087,0.0003568263,0.0004272579,0.0001177565,0.007108501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003043522,"threshold_uncertainty_score":0.01018161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534307677374302,"score_gpt":0.2288636579316053,"score_spread":0.2135205811578623,"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."}}