{"id":"W2156717389","doi":"10.1109/tcomm.2009.06.070469","title":"Intercarrier interference reduction in OFDM systems using low complexity selective mapping","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Orthogonal frequency-division multiplexing; Interference (communication); Reduction (mathematics); Fast Fourier transform; Computational complexity theory; Computer science; Electronic engineering; Fourier transform; Inverse; Algorithm; Telecommunications; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001534263,0.0004122238,0.000288514,0.0002525751,0.0001741095,0.0002413464,0.0002715375,0.0001676953,0.0007212317],"category_scores_gemma":[0.0005829228,0.00008644201,0.0001848013,0.0002903114,0.0003113066,0.0003869169,0.0003375005,0.0002569572,0.0002734739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009261116,"about_ca_system_score_gemma":0.0002362847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001815133,"about_ca_topic_score_gemma":0.0004035727,"domain_scores_codex":[0.9998943,0.00002709876,0.000004650903,0.00001306853,0.00004819105,0.00001279352],"domain_scores_gemma":[0.9998228,0.00009231674,0.00003068001,0.00002945043,0.00001902141,0.000005721839],"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":[0.0002777499,0.0001121471,0.001110442,0.0001916952,0.00003889725,0.0002617111,0.0002324047,0.03082597,0.488122,0.009572834,0.0006428685,0.4686112],"study_design_scores_gemma":[0.00006039813,0.001054118,0.003824161,0.00002119624,0.00005691596,0.001502033,0.00009370753,0.3802171,0.5994573,0.005974588,0.007702198,0.00003646354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3016676,0.0007356282,0.6925246,0.0001465426,0.00003168395,0.00004696919,0.00003030093,0.0004912938,0.004325459],"genre_scores_gemma":[0.7691783,0.0004777214,0.2281853,0.00005911537,0.00005838767,0.0000427975,0.00005667552,0.00003106854,0.001910567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007212317,"threshold_uncertainty_score":0.002412796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0877712318335284,"score_gpt":0.298975984328971,"score_spread":0.2112047524954426,"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."}}