{"id":"W2100198221","doi":"10.1109/tcomm.2014.2318717","title":"Joint Channel and Frequency Offset Estimation for Oversampled Perfect Reconstruction Filter Bank Transceivers","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carrier frequency offset; Estimator; Fading; Computer science; Cramér–Rao bound; Algorithm; Channel (broadcasting); Frequency offset; Control theory (sociology); Estimation theory; Electronic engineering; Orthogonal frequency-division multiplexing; Mathematics; Engineering; Telecommunications; Statistics","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":[0.0001962565,0.0001842642,0.0001856997,0.0002445153,0.0004925756,0.00004656443,0.0002127004,0.0001186642,0.00007273606],"category_scores_gemma":[0.00002193019,0.0002133937,0.0001195983,0.0001900266,0.0001540655,0.0003207742,9.715762e-7,0.0002839619,0.00002734863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001285228,"about_ca_system_score_gemma":0.0000181085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004264034,"about_ca_topic_score_gemma":0.0001208636,"domain_scores_codex":[0.9991173,0.00008495573,0.0003071163,0.0001965005,0.0001024627,0.0001917056],"domain_scores_gemma":[0.9987132,0.0002692901,0.00005010053,0.0008024639,0.00007735575,0.00008758458],"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":[0.00008067764,0.0003820158,0.00002334175,0.000382002,0.0005613121,2.223202e-7,0.003912169,0.6174893,0.05781503,0.005268052,0.002259612,0.3118263],"study_design_scores_gemma":[0.0009307167,0.0001391792,0.0002632443,0.0001182625,0.0001475739,0.0000513836,0.0002287818,0.9775271,0.01525646,0.003201161,0.001749174,0.0003868959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01293165,0.00008715429,0.9815638,0.0009327203,0.0008398804,0.0005263989,0.0001789296,0.0004563198,0.002483162],"genre_scores_gemma":[0.9730723,0.0003721167,0.02594633,0.00004155526,0.00003730413,0.0003773347,0.00003680506,0.00004018571,0.00007605177],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9601406,"threshold_uncertainty_score":0.8701943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03379579537303312,"score_gpt":0.2448984151835299,"score_spread":0.2111026198104968,"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."}}