{"id":"W2128511686","doi":"10.1109/pacrim.2001.953664","title":"Weighted OFDM with block codes for wireless communication","year":2002,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Weighting; Block code; Computer science; Reduction (mathematics); Block (permutation group theory); Algorithm; Wireless; Coding (social sciences); Electronic engineering; Decoding methods; Mathematics; Telecommunications; Statistics; Channel (broadcasting); Engineering","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":[0.0002038442,0.0003545313,0.0002628436,0.0002553775,0.0001438471,0.0003237564,0.0002617041,0.0004948348,0.001725355],"category_scores_gemma":[0.001262482,0.00009811653,0.0001372032,0.0007692262,0.000222137,0.0004714904,0.0002436767,0.0004943485,0.0007401715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002064398,"about_ca_system_score_gemma":0.0003690763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006552028,"about_ca_topic_score_gemma":0.0008491214,"domain_scores_codex":[0.9998054,0.00006208145,0.000005818194,0.00001686695,0.00009549492,0.00001433184],"domain_scores_gemma":[0.9996541,0.0001659355,0.0000425483,0.00005065709,0.00007930025,0.000007518584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002596629,0.00008829894,0.000999153,0.0005956169,0.00007753548,0.0003025097,0.0001485397,0.1435761,0.1193428,0.1803372,0.005544882,0.5487278],"study_design_scores_gemma":[0.0000415034,0.0005198546,0.001337434,0.0001121402,0.00006131617,0.0008262611,0.00004166926,0.8102185,0.03591301,0.08468504,0.0661992,0.00004403728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03488664,0.005279423,0.9496083,0.0003394419,0.0002060201,0.00008603533,0.00009403779,0.0002795251,0.009220558],"genre_scores_gemma":[0.4445582,0.009820663,0.5282474,0.0003290613,0.0002883487,0.0002478603,0.0002301632,0.00008971369,0.01618858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001725355,"threshold_uncertainty_score":0.005771875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536247148252874,"score_gpt":0.2119274675393023,"score_spread":0.1965649960567736,"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."}}