{"id":"W2096234306","doi":"10.1109/icc.2007.710","title":"Generalized CRLB for DA and NDA Synchronization of UWB Signals with Clock Offset","year":2007,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Cramér–Rao bound; Frequency offset; Transmitter; Upper and lower bounds; Multipath propagation; UTC offset; Algorithm; Offset (computer science); Computer science; Synchronization (alternating current); Electronic engineering; Mathematics; Estimation theory; Telecommunications; Orthogonal frequency-division multiplexing; Engineering; Global Positioning System","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":[0.00009634029,0.0000642255,0.0001052183,0.00008085419,0.00002839282,0.000006747967,0.0001011767,0.00006563093,0.00002302563],"category_scores_gemma":[0.00001588595,0.00005485268,0.00001212166,0.000146333,0.00004089466,0.00004501089,0.00001359012,0.00004174883,0.000001056258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001712393,"about_ca_system_score_gemma":0.00000662915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000204794,"about_ca_topic_score_gemma":0.0001054715,"domain_scores_codex":[0.9996309,0.000004925828,0.0001515715,0.00006645682,0.00004169488,0.0001044881],"domain_scores_gemma":[0.9995745,0.00007954882,0.00002403805,0.0002472038,0.00005540572,0.00001926496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002480582,0.0002715384,0.02136378,0.0006526786,0.0006397975,0.00000285103,0.00121741,0.05615197,0.5115905,0.2118175,0.01069249,0.1853513],"study_design_scores_gemma":[0.003574558,0.0004776956,0.003855342,0.00008422314,0.0001177861,0.00004075974,0.0004093296,0.1737627,0.7642648,0.004257609,0.04851231,0.0006428038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4947644,0.0004715896,0.5027763,0.0001102561,0.00001647756,0.0002018389,0.000005982996,0.0002111571,0.001441966],"genre_scores_gemma":[0.9563851,0.0000815856,0.04334617,0.00002552054,0.000007574394,0.00001849496,0.00002250126,0.00001497493,0.00009806651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4616207,"threshold_uncertainty_score":0.2236827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009654769649129851,"score_gpt":0.2293959640002213,"score_spread":0.2197411943510915,"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."}}