{"id":"W1533784721","doi":"10.1109/twc.2004.837295","title":"Robust Channel Estimation for OFDM Wireless Communication Systems—An<tex>$H_infty$</tex>Approach","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Orthogonal frequency-division multiplexing; Kalman filter; Fading; Channel (broadcasting); Frequency domain; Wireless; Computer science; Control theory (sociology); Multiplicative function; Mathematics; Algorithm; Statistics; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0012419,0.001229911,0.001261653,0.001136151,0.00278817,0.0004696787,0.005216371,0.0009358597,0.00005006165],"category_scores_gemma":[0.00006958179,0.00148133,0.0005396171,0.001841063,0.000843575,0.001977123,0.00009963325,0.002030466,0.0003148327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150438,"about_ca_system_score_gemma":0.0002283633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003156069,"about_ca_topic_score_gemma":0.00295809,"domain_scores_codex":[0.9939493,0.000794158,0.002215313,0.00101258,0.0008630388,0.001165637],"domain_scores_gemma":[0.9842288,0.001183022,0.0006072893,0.01241026,0.001049186,0.0005214589],"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":[0.00007882159,0.001612705,0.000003087141,0.0003167026,0.000300523,2.219935e-7,0.002374778,0.9496135,0.01159728,0.0145705,0.0006494917,0.01888245],"study_design_scores_gemma":[0.00521084,0.0002964341,0.0001098065,0.002349514,0.000902154,0.0001738149,0.0008802054,0.8921295,0.0134397,0.004592726,0.07527662,0.00463867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01743894,0.00246914,0.9678757,0.0009616677,0.000512941,0.003471757,0.0007636735,0.004458481,0.002047698],"genre_scores_gemma":[0.7016172,0.005964508,0.2835158,0.0001089594,0.00006594167,0.005554873,0.002360218,0.0003931017,0.0004194025],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.68436,"threshold_uncertainty_score":0.9987636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07574986157912109,"score_gpt":0.2959568045800156,"score_spread":0.2202069430008945,"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."}}