{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003114708,0.0002924106,0.000136236,0.0002815105,0.000089936,0.0002182348,0.000241832,0.0002247498,0.0005224693],"category_scores_gemma":[0.001320418,0.00008209903,0.0001031396,0.0002980815,0.0002282006,0.0002325395,0.0001497009,0.0001520733,0.0001288247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008324657,"about_ca_system_score_gemma":0.000155173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000230057,"about_ca_topic_score_gemma":0.0001680772,"domain_scores_codex":[0.9998209,0.00004285539,0.000007182498,0.00002601461,0.0000850439,0.00001796276],"domain_scores_gemma":[0.9992346,0.0004313554,0.0001517066,0.00006400359,0.000105768,0.00001258239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003871545,0.0002211488,0.002537914,0.0001777533,0.00003870244,0.0004004087,0.0001643098,0.08339969,0.7442234,0.00519514,0.0002842997,0.16297],"study_design_scores_gemma":[0.00003649817,0.00220688,0.002586503,0.00001421568,0.00002942319,0.0006096855,0.00003659021,0.4111766,0.5796881,0.001350846,0.002245869,0.00001888127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7162784,0.0005455207,0.2792171,0.00009862653,0.00003372583,0.00004766066,0.00002449545,0.0003357193,0.00341885],"genre_scores_gemma":[0.9166508,0.0002526545,0.08219591,0.00001927468,0.00001755224,0.00002150906,0.00002057353,0.00001075332,0.0008108754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005224693,"threshold_uncertainty_score":0.001747847,"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."}}