{"id":"W2155250989","doi":"10.1109/pacrim.1991.160696","title":"Adaptive signal-subspace processing based on first-order perturbation analysis","year":2002,"lang":"en","type":"article","venue":"","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Subspace topology; Array processing; Covariance matrix; Algorithm; Orthonormal basis; Signal processing; Perturbation (astronomy); Nonlinear system; Applied mathematics; Recursion (computer science); Mathematics; Narrowband; Curse of dimensionality; Signal subspace; Covariance; Computer science; Digital signal processing; Mathematical analysis; Artificial intelligence; Physics; 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":[0.0003955746,0.0005604829,0.0006559438,0.0004253642,0.0002970137,0.000639922,0.000572902,0.0004222258,0.001914625],"category_scores_gemma":[0.001413953,0.0002528787,0.000463438,0.0006957882,0.0004902526,0.0009235289,0.0007365008,0.001001818,0.001005768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003924845,"about_ca_system_score_gemma":0.0003752595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008026876,"about_ca_topic_score_gemma":0.0008833286,"domain_scores_codex":[0.9995555,0.0001371194,0.00001614179,0.00005714963,0.0002096262,0.000024528],"domain_scores_gemma":[0.9995202,0.0002341421,0.00003631681,0.00006375161,0.0001297958,0.00001588614],"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":[0.0002007399,0.00009050566,0.0005841103,0.0001694575,0.0001253001,0.0001841525,0.0001947527,0.3168779,0.1368549,0.1193465,0.004368016,0.4210037],"study_design_scores_gemma":[0.000005540506,0.00003947621,0.0001819001,0.000005733972,0.00000753804,0.00007606678,0.000007461455,0.9669411,0.01687924,0.01209367,0.003746726,0.00001552833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001660203,0.00006003264,0.9973798,0.00004286981,0.00002120007,0.0000113864,0.00001485141,0.0001962552,0.0006132855],"genre_scores_gemma":[0.08783519,0.000397132,0.9074982,0.00009774268,0.0001013332,0.0001212301,0.0001688799,0.0001306721,0.003649653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001914625,"threshold_uncertainty_score":0.006405056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298960127971642,"score_gpt":0.2409420675193456,"score_spread":0.2179524662396292,"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."}}