{"id":"W2002260266","doi":"10.1109/tsp.2013.2274279","title":"Efficient Implementation of Broadband Beamformers Using Nested Hexagonal Arrays and Frustum Filters","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Frustum; Hexagonal crystal system; Broadband; Filter (signal processing); SIGNAL (programming language); Aperture (computer memory); Computer science; Acoustics; Mathematics; Physics; Telecommunications; Geometry","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":[0.0004825766,0.0007412342,0.0005727744,0.0005056423,0.0002127735,0.0005288883,0.0006471262,0.0006823091,0.002305257],"category_scores_gemma":[0.001396014,0.0003930664,0.0005181928,0.0005990506,0.0002852809,0.0006231439,0.0005482992,0.0004215916,0.001525465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003108905,"about_ca_system_score_gemma":0.0004791232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001434029,"about_ca_topic_score_gemma":0.002729732,"domain_scores_codex":[0.9995028,0.0001698377,0.00003078636,0.00005678994,0.0001714762,0.00006836835],"domain_scores_gemma":[0.999416,0.0002256819,0.00008612266,0.00006833732,0.0001685868,0.0000352971],"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":[0.0005276916,0.0001139733,0.001044952,0.0002058698,0.0001227838,0.0002850636,0.0002479873,0.1793174,0.230827,0.02058873,0.003411964,0.5633066],"study_design_scores_gemma":[0.00006983513,0.0003524812,0.0008060615,0.00003225371,0.00005048369,0.0004973044,0.00005982373,0.8987445,0.08001897,0.004675388,0.01463833,0.00005459786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003049494,0.00007258047,0.9959157,0.00002809344,0.00002025059,0.00001551494,0.00001749256,0.0002782384,0.0006026599],"genre_scores_gemma":[0.07791302,0.0002288437,0.920105,0.00006360695,0.00003578649,0.00007840303,0.00008582252,0.0000434558,0.001446045],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002305257,"threshold_uncertainty_score":0.007711887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01891694507215228,"score_gpt":0.2668833388811491,"score_spread":0.2479663938089968,"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."}}