{"id":"W4362577874","doi":"10.3390/s23073660","title":"Joint Method of Moments (JMoM) and Successive Moment Cancellation (SMC) Multiuser Time Synchronization for ZP-OFDM-Based Waveforms Applicable to Joint Communication and Sensing","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Estimator; Telecommunications link; Orthogonal frequency-division multiplexing; Computer science; MIMO-OFDM; Moment (physics); MIMO; Synchronization (alternating current); Multiplexing; Algorithm; Real-time computing; Control theory (sociology); Electronic engineering; Telecommunications; Mathematics; Engineering; Statistics; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003019217,0.0001394064,0.0002194808,0.0002204565,0.0001009702,0.00002695664,0.00004096788,0.0000707335,0.000008745277],"category_scores_gemma":[0.00005984425,0.0001421413,0.00002826403,0.0003034807,0.00003219913,0.00008104506,0.00003891161,0.00006515485,0.00001147367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802478,"about_ca_system_score_gemma":0.00001229555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001111242,"about_ca_topic_score_gemma":0.00001316507,"domain_scores_codex":[0.9991248,0.00003797837,0.0003065116,0.0001937069,0.0001433955,0.000193667],"domain_scores_gemma":[0.9993624,0.0001177567,0.00009296382,0.0002415851,0.0001075351,0.00007777793],"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":[0.00001611418,0.000008515277,0.00007463467,0.0002143514,0.00003924425,3.219946e-7,0.0008128452,0.8466519,0.1410884,0.00003487118,0.0003737478,0.01068506],"study_design_scores_gemma":[0.000454213,0.00002696637,0.0007893298,0.00008418728,0.00001953743,0.000001615014,0.0002008404,0.8221745,0.1752417,0.0001133874,0.0007588682,0.0001348918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8033852,0.00006046615,0.1944601,0.0004671559,0.000116936,0.001074189,0.00003595326,0.0002336986,0.0001662804],"genre_scores_gemma":[0.9521825,0.0000548179,0.04714175,0.00002379033,0.0000359463,0.00005266532,0.00008964605,0.00005024332,0.0003686699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1487973,"threshold_uncertainty_score":0.5796356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848912567836092,"score_gpt":0.2652579182351451,"score_spread":0.2467687925567842,"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."}}