{"id":"W2089257167","doi":"10.1109/tcsi.2004.834510","title":"New Peak-to-Average Power-Ratio Reduction Algorithms for Multicarrier Communications","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Reduction (mathematics); Algorithm; Baseband; Modulation (music); Passband; Orthogonal frequency-division multiplexing; Computer science; Power (physics); Mathematics; Electronic engineering; Bandwidth (computing); Telecommunications; Engineering; Channel (broadcasting)","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":[0.0002404652,0.0002054649,0.0001946336,0.0001594377,0.0006806513,0.0001370907,0.0001614093,0.0001021098,0.00002162888],"category_scores_gemma":[0.00000309423,0.0002205571,0.00006412742,0.0002331079,0.0001121256,0.0001885215,0.00000283435,0.0001800037,0.00003005271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437497,"about_ca_system_score_gemma":0.00003247858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002822946,"about_ca_topic_score_gemma":0.000005654328,"domain_scores_codex":[0.9989904,0.00004907687,0.0003289656,0.0003009254,0.000117792,0.0002128289],"domain_scores_gemma":[0.9990308,0.0001291964,0.00004323112,0.0004908575,0.00004708469,0.0002588285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006197544,0.0004213573,0.000003769446,0.0002523583,0.0004529457,6.375324e-7,0.006661335,0.2660585,0.1226354,0.4199816,0.0004361565,0.183034],"study_design_scores_gemma":[0.01952435,0.002616294,0.0008470058,0.001592733,0.001485609,0.002364364,0.05122533,0.05165923,0.1678988,0.120308,0.5729629,0.007515311],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006847641,0.0004499843,0.9885619,0.0001887106,0.0006191359,0.001648187,0.000283157,0.0002718205,0.001129525],"genre_scores_gemma":[0.995704,0.0001751074,0.001484596,0.00004329867,0.0001475758,0.001536416,0.00001800203,0.00004507968,0.0008459122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9888564,"threshold_uncertainty_score":0.8994058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557542387561552,"score_gpt":0.2715542708334772,"score_spread":0.2459788469578617,"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."}}