{"id":"W2084368700","doi":"10.1109/pacrim.2007.4313236","title":"ß-complementary Sequences and Peak-to-Mean Envelope Power Ratio Reduction in OFDM","year":2007,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Binary Golay code; Complementary sequences; Orthogonal frequency-division multiplexing; Sequence (biology); Encoding (memory); Code (set theory); Reduction (mathematics); ENCODE; Envelope (radar); Algorithm; Power (physics); Mathematics; Computer science; Theoretical computer science; Discrete mathematics; Artificial intelligence; Telecommunications; Biology; Physics; Gene; Programming language; Channel (broadcasting); Genetics","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":[0.0002810929,0.0002655438,0.00016288,0.0002423123,0.0001300412,0.0002719297,0.0001996029,0.0004183572,0.001188638],"category_scores_gemma":[0.001665288,0.000123834,0.00009998369,0.000287808,0.0004523096,0.0004502991,0.0002524311,0.0003065174,0.0002582461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881421,"about_ca_system_score_gemma":0.0002406748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002614771,"about_ca_topic_score_gemma":0.0002259515,"domain_scores_codex":[0.9997869,0.00006186187,0.000006763659,0.00002777298,0.0000978161,0.00001881834],"domain_scores_gemma":[0.9996094,0.0002561651,0.0000415107,0.00003172747,0.00004966948,0.0000115839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003672267,0.00007855969,0.001176096,0.0002786156,0.00003305249,0.000670942,0.0002727866,0.2144988,0.1476566,0.3696656,0.001845466,0.2634562],"study_design_scores_gemma":[0.00004084617,0.0003482706,0.001165424,0.00004893661,0.00001818645,0.001010244,0.00006009418,0.813186,0.06655194,0.1086754,0.008862472,0.00003210278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1490833,0.001765429,0.8305095,0.0004211685,0.00009604666,0.00003382644,0.00005455446,0.0002561088,0.01778016],"genre_scores_gemma":[0.8108862,0.001534997,0.1809105,0.0001994727,0.0001806305,0.00005400816,0.00006515267,0.00004954484,0.006119559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001188638,"threshold_uncertainty_score":0.003976405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431383797338425,"score_gpt":0.2558734768345999,"score_spread":0.2415596388612157,"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."}}