{"id":"W2153451598","doi":"10.1109/tbc.2014.2321681","title":"A Low-Complexity Robust OFDM Receiver for Fast Fading Channels","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Orthogonal frequency-division multiplexing; Fading; Subcarrier; Computer science; Electronic engineering; Channel (broadcasting); Multipath propagation; Digital Video Broadcasting; Estimator; Telecommunications; Engineering; Mathematics; 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":[0.0004819197,0.0004929698,0.0006404818,0.0002499204,0.0003609114,0.0006304652,0.0008797663,0.0009342827,0.001669115],"category_scores_gemma":[0.001364511,0.0002437285,0.0003248586,0.0002441979,0.0002431218,0.000777299,0.0004810528,0.001053126,0.001396862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000259135,"about_ca_system_score_gemma":0.0006370139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005431015,"about_ca_topic_score_gemma":0.0008241609,"domain_scores_codex":[0.9995791,0.00005897926,0.00002205248,0.0000844644,0.0002132557,0.00004212775],"domain_scores_gemma":[0.9996327,0.0001236167,0.00005773215,0.00008027165,0.00008929494,0.0000164953],"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":[0.0004094169,0.0001947519,0.001415947,0.0002849862,0.0001328817,0.0004744276,0.0001261239,0.1149488,0.4075963,0.02260493,0.003707314,0.4481041],"study_design_scores_gemma":[0.00006127627,0.000446866,0.0006344744,0.00002115439,0.00007478007,0.0008808452,0.0000179803,0.8813205,0.1060056,0.002077263,0.008411363,0.00004792652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01127648,0.0002787762,0.9862267,0.0001088281,0.00006025164,0.00003503391,0.00003708776,0.0006191512,0.001357671],"genre_scores_gemma":[0.3393543,0.0003499086,0.6556856,0.0002210496,0.000210343,0.00007254213,0.0001194127,0.00005954334,0.003927332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001669115,"threshold_uncertainty_score":0.005583704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04761445059737596,"score_gpt":0.261706703966451,"score_spread":0.2140922533690751,"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."}}