{"id":"W1975770583","doi":"10.1109/wcnc.2009.4917659","title":"Decoupled Phase Optimization for Partial Transmit Sequence OFDM","year":2009,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Orthogonal frequency-division multiplexing; Sequence (biology); Reduction (mathematics); Computer science; Blocking (statistics); Phase (matter); Optimization problem; Algorithm; Mathematical optimization; Power (physics); Mathematics; Telecommunications; Channel (broadcasting); Computer network","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":[0.0004490515,0.0006692663,0.0005820647,0.0002773498,0.0002113573,0.0005567457,0.0003479585,0.000388023,0.003419718],"category_scores_gemma":[0.001468662,0.0003150126,0.0003646573,0.000467506,0.000469558,0.0006995165,0.0005566271,0.0006341481,0.0007021838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003827015,"about_ca_system_score_gemma":0.0007131457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007078366,"about_ca_topic_score_gemma":0.0008663215,"domain_scores_codex":[0.9997168,0.00008880274,0.000009696681,0.00003350989,0.0001253903,0.00002586087],"domain_scores_gemma":[0.999737,0.000151132,0.0000273058,0.00002603551,0.00004985446,0.000008729565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000188235,0.0000496417,0.0001967284,0.0001619596,0.00003097044,0.00006468387,0.0000629986,0.7573688,0.01905152,0.08771724,0.002312499,0.1327948],"study_design_scores_gemma":[0.00002102841,0.00007170886,0.00007740558,0.000009873994,0.000008944039,0.00003551891,0.000007058583,0.9745684,0.002557917,0.01974235,0.002891917,0.000007853016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004825165,0.0002507115,0.9918108,0.00006077062,0.00002217215,0.00001502124,0.0000300543,0.00007877101,0.002906475],"genre_scores_gemma":[0.4410108,0.001675653,0.5466258,0.0001609079,0.000132447,0.0001779953,0.0002279306,0.0001525159,0.009835914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003419718,"threshold_uncertainty_score":0.0114401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778799839894857,"score_gpt":0.3023454460285023,"score_spread":0.2745574476295537,"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."}}