{"id":"W2134223162","doi":"10.1049/ip-rsn:20020553","title":"Minimal sample support space–time adaptive processing with fast subspace techniques","year":2002,"lang":"en","type":"article","venue":"IEE Proceedings - Radar Sonar and Navigation","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Subspace topology; Clutter; Projection (relational algebra); Dimension (graph theory); Estimator; Computer science; Space-time adaptive processing; Algorithm; Rank (graph theory); Eigenvalues and eigenvectors; Linear subspace; Mathematical optimization; Mathematics; Radar; Artificial intelligence; Statistics","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":[0.0005459847,0.0006539841,0.0006244548,0.0004811555,0.000234591,0.0006547893,0.0005502454,0.0006018184,0.001613765],"category_scores_gemma":[0.003392749,0.0003305905,0.0004255757,0.0007067083,0.0005814814,0.001271131,0.0009626283,0.0008320022,0.0006353451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779634,"about_ca_system_score_gemma":0.0003232071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001945705,"about_ca_topic_score_gemma":0.0002635058,"domain_scores_codex":[0.9995422,0.000147388,0.00001883833,0.00004541239,0.0002158354,0.00003042541],"domain_scores_gemma":[0.9985056,0.0009616531,0.0001209178,0.0001868087,0.0001813363,0.00004376924],"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":[0.0005184734,0.0001129763,0.0005562968,0.0002678907,0.0001286735,0.0001217982,0.0002055587,0.2229142,0.07707659,0.1160406,0.002197098,0.5798599],"study_design_scores_gemma":[0.00003192516,0.0002360312,0.0001597784,0.00001799229,0.00001409117,0.0001185175,0.00001410376,0.9465559,0.01815637,0.03072721,0.003943645,0.00002448761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005591407,0.000128844,0.9937191,0.00004411123,0.00001538541,0.000008883371,0.000008056792,0.00008758472,0.0003967222],"genre_scores_gemma":[0.1586462,0.0004745629,0.8384264,0.00007310798,0.00008638165,0.0001131711,0.00007680957,0.00005657191,0.002046874],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001613765,"threshold_uncertainty_score":0.005398571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266288674069957,"score_gpt":0.2255104268102163,"score_spread":0.2128475400695167,"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."}}