{"id":"W2163850973","doi":"10.1109/tcomm.2008.060229","title":"Synchronization and Integration Region Optimization for UWB Signals with Non-coherent Detection and Auto-correlation Detection","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Synchronization (alternating current); Integrator; Computer science; Bit error rate; Detection theory; Electronic engineering; Signal-to-noise ratio (imaging); Algorithm; Bandwidth (computing); Engineering; Detector; Telecommunications; Decoding methods","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001225579,0.0002494414,0.0002062318,0.0004402426,0.001112716,0.00005400412,0.0002464371,0.0002112779,0.000006646906],"category_scores_gemma":[0.00001712442,0.0002614948,0.00004423878,0.000576578,0.000249116,0.0005126119,0.00000524808,0.0004063467,0.000003979084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002104116,"about_ca_system_score_gemma":0.00003056899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004849742,"about_ca_topic_score_gemma":0.0008262669,"domain_scores_codex":[0.998943,0.00008801826,0.0003802068,0.0002695661,0.0001251113,0.0001941431],"domain_scores_gemma":[0.9982865,0.0003047209,0.000117056,0.001003588,0.0002182344,0.00006990502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001630253,0.0002601612,0.00004667871,0.00006065971,0.0001247592,4.354834e-7,0.001179198,0.7223768,0.02220675,0.0001366244,0.00002662376,0.2534183],"study_design_scores_gemma":[0.0008367545,0.0005399576,0.0003301959,0.00007690745,0.0001089636,0.0001194387,0.0001594771,0.9689689,0.02816448,0.0001988041,0.0002157135,0.0002803588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03130376,0.0002766259,0.9660744,0.0002930944,0.0001247997,0.001039781,0.00001236129,0.0006489896,0.0002261634],"genre_scores_gemma":[0.9750184,0.003687851,0.02001495,0.00002531397,0.00001605933,0.001070654,0.00004655936,0.00006282759,0.00005736229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9460595,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624810442454737,"score_gpt":0.214079829390879,"score_spread":0.1978317249663316,"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."}}