{"id":"W1481975178","doi":"10.1109/vtcspring.2015.7146145","title":"Universal Receiver for Weighted Circularly Convolved OFDM/OQAM","year":2015,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Fading; Transmitter; Interference (communication); Channel (broadcasting); Channel state information; SIGNAL (programming language); Coding (social sciences); Algorithm; Telecommunications; Modulation (music); Electronic engineering; Mathematics; Wireless; Acoustics; Physics; Engineering; Statistics","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":[0.0006332829,0.0003985268,0.0007884387,0.0003052276,0.0002918115,0.0005617627,0.0007413776,0.0006694015,0.000713144],"category_scores_gemma":[0.001081061,0.0001785895,0.0002611191,0.0003086663,0.0005430531,0.0006001367,0.0008241294,0.0006349973,0.0003537182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002508407,"about_ca_system_score_gemma":0.0004935575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000333384,"about_ca_topic_score_gemma":0.0005675959,"domain_scores_codex":[0.9994271,0.0001038801,0.00003490411,0.0001391065,0.000211546,0.00008351917],"domain_scores_gemma":[0.9993016,0.0001373197,0.0001221936,0.0001876329,0.0002088772,0.00004249008],"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":[0.0008759794,0.0001393974,0.002787832,0.0003550565,0.0001153128,0.0005697096,0.0003803323,0.03315879,0.624887,0.04922565,0.001522262,0.2859827],"study_design_scores_gemma":[0.00005774528,0.0009176556,0.001641371,0.0000524909,0.0001117509,0.00211222,0.00008200672,0.5951177,0.385382,0.004499859,0.00992848,0.0000967236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0735042,0.0007430811,0.9228154,0.00007816519,0.00007009343,0.00003665912,0.00002749483,0.0005117282,0.002213211],"genre_scores_gemma":[0.7384531,0.0004127637,0.2571286,0.0001390171,0.00009880009,0.00003437605,0.00006562376,0.00003132053,0.003636412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007884387,"threshold_uncertainty_score":0.003349185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03300445595005105,"score_gpt":0.2258325020952084,"score_spread":0.1928280461451573,"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."}}