{"id":"W2280484585","doi":"10.1109/vtcfall.2015.7390999","title":"Joint Carrier Frequency Offset, Sampling Time Offset and Channel Estimation for OFDM-OQAM Systems","year":2015,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Carrier frequency offset; Estimator; Computer science; Joint (building); Offset (computer science); Frequency offset; UTC offset; Electronic engineering; Multiplexing; Channel (broadcasting); Algorithm; Control theory (sociology); Telecommunications; Mathematics; Statistics; Engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002581187,0.0001455141,0.0001957124,0.0001074307,0.00005575598,0.0000609594,0.00005943837,0.00009632983,0.00002183939],"category_scores_gemma":[0.0001286269,0.0001412345,0.00003327044,0.00009256519,0.00002391253,0.0002301386,0.00001622404,0.00007559481,0.0000640465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001267604,"about_ca_system_score_gemma":0.00002547714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006867173,"about_ca_topic_score_gemma":0.000003340679,"domain_scores_codex":[0.99919,0.00001333672,0.000277141,0.0001681305,0.0001450479,0.000206298],"domain_scores_gemma":[0.999483,0.00003316101,0.00003987335,0.0001790276,0.0001091639,0.0001558063],"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":[0.00002061572,0.00003859598,0.0001516892,0.0007984487,0.000196358,0.000002336929,0.001882401,0.8454221,0.02255,0.007334763,0.118351,0.003251716],"study_design_scores_gemma":[0.0003656154,0.00004074492,0.00008766256,0.00006802451,0.00002224639,0.00004499592,0.000251327,0.9925791,0.00161137,0.001564897,0.003131125,0.0002328813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1657567,0.002256479,0.8060848,0.0004749238,0.004707715,0.001764862,0.000282551,0.001823741,0.01684828],"genre_scores_gemma":[0.9839492,0.00001137881,0.01438649,0.00001887098,0.0003283822,0.0001440236,0.00007344497,0.00005022787,0.001037951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8181925,"threshold_uncertainty_score":0.5759374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05657184463805866,"score_gpt":0.256537303037944,"score_spread":0.1999654583998853,"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."}}