{"id":"W1984114297","doi":"10.1049/el:20020613","title":"PAPR reduction of OFDM signals using multiamplitude CPM","year":2002,"lang":"en","type":"article","venue":"Electronics Letters","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Reduction (mathematics); Continuous phase modulation; Modulation (music); SIGNAL (programming language); Electronic engineering; Phase (matter); Computer science; Power (physics); Multiplexing; Algorithm; Mathematics; Telecommunications; Engineering; Channel (broadcasting); Physics; Acoustics","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":[0.0002907083,0.0002802548,0.0002005082,0.0002836099,0.000101613,0.0002385326,0.000226155,0.0003058157,0.0006923295],"category_scores_gemma":[0.001110544,0.00008355387,0.0001653231,0.0002802518,0.0002032779,0.0002551336,0.0001942359,0.0002443157,0.0002203507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192262,"about_ca_system_score_gemma":0.0001586651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001434361,"about_ca_topic_score_gemma":0.0001416227,"domain_scores_codex":[0.9997565,0.00006892364,0.00001031993,0.00002449032,0.0001236813,0.00001599999],"domain_scores_gemma":[0.9996555,0.0001701666,0.0000509092,0.00004175219,0.0000739007,0.000007793215],"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":[0.0003256091,0.0001019051,0.001078574,0.0001888387,0.00004357251,0.0002397064,0.000152501,0.04410014,0.5894136,0.007263782,0.0005378022,0.3565539],"study_design_scores_gemma":[0.0000883177,0.001570872,0.00445347,0.00004017529,0.00006144449,0.001886215,0.0000478537,0.423753,0.5533511,0.004947467,0.009761699,0.00003840627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2622998,0.0008839415,0.7296088,0.0002569121,0.00004659309,0.00005555485,0.00003543297,0.0005153036,0.006297741],"genre_scores_gemma":[0.7661723,0.0004636567,0.2310105,0.00006689571,0.00004702686,0.00003844462,0.00006288,0.00003082318,0.002107584],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0006923295,"threshold_uncertainty_score":0.002316117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906935790706803,"score_gpt":0.2212455790424004,"score_spread":0.2021762211353323,"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."}}