{"id":"W2158157157","doi":"10.1109/isspit.2006.270915","title":"An Overview of Peak-to-Average Power Ratio Reduction Techniques for OFDM Systems","year":2006,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Reduction (mathematics); Orthogonal frequency-division multiplexing; Computer science; Mathematical optimization; Computational complexity theory; Probabilistic logic; Coding (social sciences); Algorithm; Inefficiency; Bit error rate; Mathematics; Decoding methods; Telecommunications; Statistics; 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":[0.0001420618,0.0001134346,0.0001681872,0.0001298047,0.00002959889,0.00002785605,0.00009620867,0.00007234684,0.000064543],"category_scores_gemma":[0.000007450421,0.0001126108,0.00005142948,0.0001653543,0.00001347423,0.000202588,0.000007005426,0.00004535446,0.00001109553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007661805,"about_ca_system_score_gemma":0.000009719908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001152274,"about_ca_topic_score_gemma":0.000004174448,"domain_scores_codex":[0.9992816,0.00001623563,0.000301165,0.0001412756,0.00011691,0.0001428037],"domain_scores_gemma":[0.9995462,0.00001053906,0.00003752883,0.0002697022,0.00009374119,0.00004224556],"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":[0.00001444761,0.00007936553,0.00003234765,0.0004568844,0.00003385737,5.098109e-7,0.0001510616,0.1265491,0.7703168,0.04067389,0.06027579,0.001416021],"study_design_scores_gemma":[0.0003060042,0.0002718112,0.0006902206,0.0001657111,0.00002742158,0.00005429908,0.0002706654,0.02404146,0.8246281,0.0008300801,0.1482083,0.0005059665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1607189,0.002358021,0.7553886,0.0001961917,0.00386911,0.003109597,0.00008259532,0.00364954,0.07062756],"genre_scores_gemma":[0.9901178,0.00003406188,0.007724276,0.00000854922,0.0002904908,0.0001568389,0.00001962281,0.00003925711,0.001609051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.829399,"threshold_uncertainty_score":0.4592137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0224095196744651,"score_gpt":0.2847440402461499,"score_spread":0.2623345205716848,"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."}}