{"id":"W2158069038","doi":"10.1109/cdc.1992.371199","title":"A novel high resolution parallel spectral estimation method for narrow-band signals","year":2005,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Fast Fourier transform; Singular value decomposition; Parametric statistics; Autoregressive model; Algorithm; Computer science; Nonparametric statistics; SIGNAL (programming language); Inverse; Spectral density estimation; Autoregressive–moving-average model; Parametric model; Fourier transform; Mathematics; 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":[0.0009433122,0.0009908982,0.0008628112,0.001217726,0.0006320986,0.0009468122,0.001318873,0.0009746867,0.003718096],"category_scores_gemma":[0.002375232,0.000534503,0.0008747426,0.001429937,0.0006107518,0.001721442,0.001090705,0.001164542,0.002371472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004272207,"about_ca_system_score_gemma":0.001081618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001895409,"about_ca_topic_score_gemma":0.001999376,"domain_scores_codex":[0.9992095,0.0001548598,0.00004097127,0.0001858268,0.0003639318,0.00004492953],"domain_scores_gemma":[0.9990333,0.0003128659,0.0001155399,0.0001805036,0.0003232314,0.00003461296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002359716,0.00009771136,0.0006196225,0.0001887476,0.00009661342,0.0001488748,0.0001224087,0.09184891,0.05068701,0.0215477,0.003553559,0.8308529],"study_design_scores_gemma":[0.00003040136,0.00005903302,0.0004143605,0.00001782968,0.00002593152,0.0003603628,0.00002130101,0.9599193,0.0191346,0.009663925,0.01031286,0.00004004539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008122713,0.00005792443,0.9985279,0.00002051887,0.00001687434,0.00001094357,0.00001304336,0.0002357056,0.0003047907],"genre_scores_gemma":[0.02147729,0.0001674539,0.9758971,0.00003791761,0.00004791758,0.00008548434,0.0001140232,0.00009251165,0.002080282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003718096,"threshold_uncertainty_score":0.0124383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03128867314847641,"score_gpt":0.3245537414266881,"score_spread":0.2932650682782117,"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."}}