{"id":"W4297268591","doi":"10.3390/app12199726","title":"An Efficient FPGA Implementation of MUSIC Processor Using Cyclic Jacobi Method: LiDAR Applications","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Singular value decomposition; Field-programmable gate array; Eigenvalues and eigenvectors; Singular value; Lidar; Position (finance); Algorithm; Jacobian matrix and determinant; Jacobi method; Jacobi eigenvalue algorithm; Mathematical optimization; Mathematics; Computer hardware; Applied mathematics","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":[0.0001286146,0.000468928,0.00026174,0.0004016152,0.000226793,0.0004807541,0.0006050086,0.0003337627,0.005751572],"category_scores_gemma":[0.0003167191,0.0001149069,0.0001780931,0.000473934,0.00009696771,0.0003109533,0.0001516063,0.0002301007,0.001687671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002225277,"about_ca_system_score_gemma":0.0003871879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319625,"about_ca_topic_score_gemma":0.001732344,"domain_scores_codex":[0.9998928,0.00001883585,0.000007176694,0.00001863457,0.00003954733,0.0000229364],"domain_scores_gemma":[0.9999007,0.0000229766,0.00000823884,0.00001694327,0.00004330212,0.000007892145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008647717,0.0001957121,0.001781446,0.0004547176,0.0001001832,0.0006737155,0.0001376694,0.03944239,0.160799,0.01182828,0.01414622,0.7695758],"study_design_scores_gemma":[0.000425444,0.00192715,0.00381217,0.0001349791,0.000131637,0.002387583,0.0001697085,0.6772954,0.2396357,0.004040267,0.0699591,0.00008090392],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1296523,0.002497952,0.8288288,0.0004304044,0.0004901768,0.0002661528,0.000321262,0.00870313,0.0288099],"genre_scores_gemma":[0.5746626,0.0006430988,0.4146024,0.0001557379,0.0000939103,0.0001180139,0.0003407896,0.00009942705,0.009284018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005751572,"threshold_uncertainty_score":0.01924098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04063495712668336,"score_gpt":0.3772806844961804,"score_spread":0.336645727369497,"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."}}