{"id":"W1878052095","doi":"10.1109/icassp.1986.1168565","title":"Time delay estimation with nonstationary signals","year":2005,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Cramér–Rao bound; Time domain; Discrete time and continuous time; Upper and lower bounds; Algorithm; Convergence (economics); Computer science; Modulation (music); Mathematics; Cross-correlation; Control theory (sociology); Mathematical optimization; Estimation theory; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007156954,0.00004901844,0.00004266695,0.00004039362,0.0000541622,0.00008576422,0.0001664565,0.00001364896,0.0001386454],"category_scores_gemma":[0.000006262497,0.00003563793,0.000009083438,0.0001645968,0.00001656861,0.0008403009,0.00002306857,0.00002733743,0.0006252006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001369157,"about_ca_system_score_gemma":0.00005426242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000101413,"about_ca_topic_score_gemma":0.00000136731,"domain_scores_codex":[0.9995512,0.000007644156,0.00007282908,0.000128252,0.0001393889,0.0001006823],"domain_scores_gemma":[0.9997467,0.00003102825,0.0000304154,0.0001099068,0.00004461056,0.00003731338],"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":[0.000004593443,0.00004615501,0.00008635896,0.000004226001,0.000007888422,0.00001006507,0.0003676545,0.02956677,0.005239136,0.001177898,0.003813227,0.959676],"study_design_scores_gemma":[0.0001774387,0.00004841562,0.0002199583,0.00001547516,0.000002094767,0.00005535973,0.000006115286,0.8935393,0.1032301,0.00106468,0.00152428,0.0001167657],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01624967,0.0000309744,0.9662071,0.00222787,0.000009074818,0.00003941849,1.908239e-7,0.0001636879,0.01507194],"genre_scores_gemma":[0.2821389,4.507181e-7,0.7157677,0.0007599207,0.00002201106,0.000002573894,0.000001645491,0.000002272763,0.001304469],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9595593,"threshold_uncertainty_score":0.8035898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007002363274066943,"score_gpt":0.2277434361518393,"score_spread":0.2207410728777724,"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."}}