{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001486547,0.0001012179,0.0001603818,0.0003529501,0.000580012,0.00006783758,0.001218886,0.00001923546,0.0000560683],"category_scores_gemma":[0.000008611666,0.0001016181,0.00003828957,0.002365596,0.0001694129,0.0002879497,0.0002595383,0.00007496548,0.000001640498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006380126,"about_ca_system_score_gemma":0.0002521468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001714776,"about_ca_topic_score_gemma":0.000008547391,"domain_scores_codex":[0.99819,0.00009068271,0.0003948759,0.0004462997,0.0006852943,0.0001928683],"domain_scores_gemma":[0.9989514,0.00009970968,0.0004298167,0.0003714669,0.00009641553,0.00005117618],"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":[0.000006669527,0.0003988857,0.0003970894,0.00006690593,0.00001415585,3.052527e-7,0.005321734,0.08878272,0.2953633,0.2404599,0.00005067066,0.3691377],"study_design_scores_gemma":[0.0001678248,0.0002376316,0.001129107,0.000005922114,0.00001517347,0.000007863796,0.002419708,0.1645034,0.8165901,0.01435545,0.00034955,0.0002182586],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1320024,0.00001584494,0.8658423,0.0000541061,0.0000660618,0.0005950869,0.000008277178,0.0001635427,0.001252326],"genre_scores_gemma":[0.6572017,4.608644e-7,0.3424521,0.0000464282,0.00000934776,0.0002819169,0.00000215328,0.000003886772,0.000002029831],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5251992,"threshold_uncertainty_score":0.4461042,"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."}}