{"id":"W2156012074","doi":"10.1109/vtcf.2006.283","title":"On the Peak Factor of Sampled and Continuous Signals","year":2006,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Conference","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; University of Ottawa","funders":"","keywords":"SIGNAL (programming language); Nyquist–Shannon sampling theorem; Frequency factor; Factor (programming language); Upper and lower bounds; Bounded function; Crest factor; Mathematics; Sequence (biology); Control theory (sociology); Energy (signal processing); Computer science; Algorithm; Statistics; Mathematical analysis; Physics; Telecommunications; Bandwidth (computing); Artificial intelligence","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":[0.00006403828,0.0001365443,0.0002017978,0.0001563438,0.00004437836,0.00001452018,0.0002198799,0.0001897594,0.00007877508],"category_scores_gemma":[0.00005984656,0.0001049458,0.00003172275,0.000200344,0.0002936052,0.00003000534,0.00002005308,0.0002396279,0.00002182412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001652349,"about_ca_system_score_gemma":0.00001329013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002143272,"about_ca_topic_score_gemma":0.0000116489,"domain_scores_codex":[0.9993424,0.00002030228,0.0001944659,0.0001554151,0.0001059595,0.0001814417],"domain_scores_gemma":[0.9994437,0.0001017481,0.00005074945,0.0003126912,0.00007327695,0.00001782573],"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":[0.000004751417,0.00002787962,0.001065404,0.00002669941,0.00005756675,0.000008937406,0.00004385001,0.001561905,0.9237483,0.0696119,0.001228195,0.002614645],"study_design_scores_gemma":[0.0003562447,0.00009632279,0.003457702,0.00007216733,0.00002134127,0.00003917196,0.0001215184,0.005109566,0.9567814,0.03064083,0.003038291,0.0002654016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926614,0.0002769586,0.004579414,0.0005380965,0.0001632931,0.0001740509,0.00001537397,0.0003964939,0.001194948],"genre_scores_gemma":[0.999619,0.00002712723,0.0001971522,0.00001749673,0.00002167433,0.00003045797,0.00000142034,0.00001534042,0.00007033846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03897106,"threshold_uncertainty_score":0.4279565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244165635399982,"score_gpt":0.207489811514347,"score_spread":0.1950481551603472,"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."}}