{"id":"W2141081123","doi":"10.1109/vetecs.2003.1207839","title":"Improved channel estimation using noise reduction for OFDM systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cyclic prefix; Estimator; Orthogonal frequency-division multiplexing; Algorithm; Subspace topology; Computer science; Channel (broadcasting); Noise (video); Impulse noise; Colors of noise; Noise reduction; Reduction (mathematics); Mathematics; Speech recognition; Statistics; Telecommunications; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0000646035,0.00008182594,0.00008918558,0.0000696854,0.00005909047,0.00002142995,0.0000870157,0.00005655095,0.000001067117],"category_scores_gemma":[0.00001363481,0.00008756812,0.00002519638,0.0000917309,0.00001203998,0.0002624861,0.00001228075,0.0000528564,0.000001931586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039694,"about_ca_system_score_gemma":0.000009269667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005134501,"about_ca_topic_score_gemma":0.000001835524,"domain_scores_codex":[0.9995935,0.000004671128,0.0001681782,0.00008158214,0.00004300547,0.0001090623],"domain_scores_gemma":[0.9996219,0.00001062127,0.00003483412,0.0002511975,0.00005672286,0.00002466975],"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":[0.000002211004,0.000006756096,1.173808e-7,0.00005597178,0.000005104315,2.434045e-8,0.00005496946,0.8457896,0.1491617,0.002568145,0.00001903384,0.00233634],"study_design_scores_gemma":[0.0001614744,0.00001291014,0.000001763017,0.00003725225,0.000004569186,0.000005791035,0.00006527382,0.816553,0.1812486,0.00174704,0.00007154906,0.0000907892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01501983,0.0001548647,0.9826496,0.00003097433,0.0001988384,0.0004877978,0.000003115874,0.00119061,0.0002643421],"genre_scores_gemma":[0.7757888,0.00002957631,0.2239433,0.000003230032,0.00003767837,0.000125286,0.00001352377,0.0000257987,0.00003273437],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.760769,"threshold_uncertainty_score":0.3570924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401824307547045,"score_gpt":0.2743153193966448,"score_spread":0.2502970763211743,"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."}}