{"id":"W2148063432","doi":"10.1109/wcnc.2007.269","title":"PAPR Reduction using Frequency Domain Multiplexed Pilot Sequences","year":2007,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"European Commission","keywords":"Orthogonal frequency-division multiplexing; Multiplexing; Reduction (mathematics); Algorithm; Frequency domain; Amplifier; Mathematics; Frequency-division multiplexing; Hadamard transform; Modulation (music); Time domain; Computer science; Electronic engineering; Telecommunications; Channel (broadcasting); Bandwidth (computing); Physics; Engineering; Acoustics","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":[0.0003197024,0.0001530178,0.0001227009,0.0001602029,0.00009730493,0.00002947725,0.0001117526,0.00007164263,0.0002882691],"category_scores_gemma":[0.00002059987,0.0001535632,0.00004118636,0.0003164747,0.00007212402,0.0002912774,0.00001178566,0.000150564,0.00008502637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002425841,"about_ca_system_score_gemma":0.00001750039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002333323,"about_ca_topic_score_gemma":0.00003538283,"domain_scores_codex":[0.9989858,0.00001701338,0.000298271,0.0001826505,0.0001810142,0.0003352086],"domain_scores_gemma":[0.9995993,0.00002410423,0.00003262018,0.0002050599,0.00004041452,0.00009848578],"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":[0.000006012298,0.0000150665,0.0002827473,0.00001606792,0.00002146869,0.000006427672,0.0001839071,0.007106111,0.9886444,0.002429423,0.0003227818,0.0009656253],"study_design_scores_gemma":[0.001688607,0.0002241373,0.006141711,0.0001180437,0.00005343468,0.0009908592,0.004948027,0.01098895,0.9372902,0.02964434,0.006245568,0.001666095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167497,0.000187107,0.03609034,0.00004440973,0.002126001,0.000166072,0.000002121095,0.0009450499,0.04368919],"genre_scores_gemma":[0.8790888,0.00001527892,0.1202145,0.00001199873,0.0004383662,0.000004904119,0.000003270892,0.00003091515,0.0001919024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08412419,"threshold_uncertainty_score":0.6262127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0342156230309865,"score_gpt":0.2678019510787912,"score_spread":0.2335863280478047,"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."}}