{"id":"W2122727891","doi":"10.1109/wcnc.2008.6","title":"A Postfix Synchronization Method for OFDM and MIMO-OFDM Systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Preamble; Computer science; Synchronization (alternating current); Estimator; MIMO-OFDM; Carrier frequency offset; Diversity gain; Fading; Algorithm; Rayleigh fading; Spectral efficiency; Real-time computing; Frequency offset; Mathematics; Telecommunications; Statistics; Decoding methods; Channel (broadcasting)","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":[0.0004293096,0.0004752799,0.0003536285,0.000643878,0.0003657739,0.0003336351,0.0005599142,0.0004633523,0.00217578],"category_scores_gemma":[0.001541141,0.0001892457,0.0002515842,0.0003995845,0.0003410392,0.0007491865,0.0003917442,0.0005791613,0.0005605157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003149579,"about_ca_system_score_gemma":0.0006120962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004672908,"about_ca_topic_score_gemma":0.0009275847,"domain_scores_codex":[0.9996486,0.00006313668,0.00002465896,0.00007725074,0.0001633224,0.00002295964],"domain_scores_gemma":[0.999471,0.000189841,0.0001019509,0.00009213811,0.0001251391,0.00001995209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002968522,0.00005047958,0.001011668,0.0002522112,0.00004104477,0.0001488056,0.0001628143,0.01332866,0.1436253,0.02410308,0.001818637,0.8151605],"study_design_scores_gemma":[0.0001755929,0.001332269,0.005380439,0.0001286484,0.0001417088,0.00287619,0.0001402471,0.4498697,0.4383356,0.01137868,0.09007181,0.0001691503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009700346,0.0003735202,0.9881619,0.00005612015,0.0001157432,0.00004357029,0.00002287318,0.0002770588,0.001248885],"genre_scores_gemma":[0.2283279,0.0006108175,0.7646278,0.0001344639,0.0002189616,0.0001436392,0.0001274832,0.00007284892,0.00573617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00217578,"threshold_uncertainty_score":0.007278681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720810281944161,"score_gpt":0.2723294255229629,"score_spread":0.2551213227035213,"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."}}