{"id":"W2130510313","doi":"10.1109/glocom.2008.ecp.704","title":"Cooperative OFDM Channel Estimation with Frequency Offsets","year":2008,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Orthogonal frequency-division multiplexing; Pairwise error probability; Algorithm; Channel (broadcasting); Frequency offset; Mathematics; Relay; Topology (electrical circuits); Computer science; Carrier frequency offset; Multiplexing; Statistics; Electronic engineering; Telecommunications; Power (physics); Physics; Combinatorics; Engineering; Fading","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":[0.0007834671,0.0004564645,0.0005656608,0.0002442945,0.0003358778,0.0005666094,0.0003976016,0.000574647,0.0002883188],"category_scores_gemma":[0.003286838,0.0002316299,0.0002388597,0.0005452717,0.0005352535,0.0008145417,0.0007614364,0.0003694257,0.00011823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004518313,"about_ca_system_score_gemma":0.0006380003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002345146,"about_ca_topic_score_gemma":0.002128442,"domain_scores_codex":[0.9993937,0.0001938998,0.00001843446,0.00009732009,0.0001894679,0.0001072236],"domain_scores_gemma":[0.998666,0.0008931627,0.0001438865,0.0001203072,0.0001565591,0.00002001122],"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":[0.0001439286,0.00002667189,0.001721097,0.00005874516,0.00004350234,0.000287842,0.0001619366,0.9103144,0.01126459,0.008242397,0.0004401125,0.06729486],"study_design_scores_gemma":[0.000009332241,0.00004770975,0.0004508712,0.000005924104,0.00001695248,0.000132808,0.00003778805,0.9913892,0.00470734,0.002539379,0.0006494973,0.000013202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1849844,0.001143436,0.8088432,0.0002878824,0.0000652758,0.0000195338,0.00004259495,0.0002108634,0.004402851],"genre_scores_gemma":[0.9540174,0.0004746974,0.04391737,0.00005064419,0.00006492494,0.00002076652,0.00002850249,0.00001191922,0.001413764],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002345146,"threshold_uncertainty_score":0.004662991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04325347603580785,"score_gpt":0.2618816673853291,"score_spread":0.2186281913495212,"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."}}