{"id":"W2075416647","doi":"10.1109/tcomm.2015.2409259","title":"Jitter-Robust Spectral Shaping in OFDM","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jitter; Orthogonal frequency-division multiplexing; Electronic engineering; Computer science; Reduction (mathematics); Sampling (signal processing); Spectral efficiency; Control theory (sociology); Mathematics; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007255846,0.0003852953,0.000421724,0.0003134284,0.0003167243,0.000566085,0.0004527013,0.0004205526,0.0005336288],"category_scores_gemma":[0.002969668,0.0001672856,0.0002445338,0.0003909119,0.0004713669,0.0004440937,0.0005011451,0.0004101772,0.0001720511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000388704,"about_ca_system_score_gemma":0.0004300788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004515204,"about_ca_topic_score_gemma":0.0002585568,"domain_scores_codex":[0.9993473,0.0001448208,0.00003258995,0.00008173268,0.0003378662,0.00005562416],"domain_scores_gemma":[0.9991367,0.0004542619,0.0001524474,0.000124414,0.0001126322,0.00001946343],"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":[0.000502157,0.00007793304,0.00117962,0.0001734593,0.00005719277,0.000274885,0.0002092863,0.7021347,0.1215019,0.03352941,0.000553278,0.1398061],"study_design_scores_gemma":[0.00001276404,0.000144584,0.0003304451,0.00001328555,0.000013608,0.00013928,0.00001318236,0.9615003,0.03244824,0.004546568,0.0008221614,0.00001544647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0650625,0.0004900193,0.930891,0.00007070001,0.00003809439,0.00002636533,0.00002101039,0.0003667335,0.003033597],"genre_scores_gemma":[0.9062188,0.000342974,0.0924001,0.00005010947,0.00004596549,0.00002367379,0.00002373278,0.00004389419,0.0008508668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007255846,"threshold_uncertainty_score":0.003837287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412083158856307,"score_gpt":0.294464526358272,"score_spread":0.1532562104726413,"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."}}