{"id":"W2151901300","doi":"10.1109/glocom.2005.1578453","title":"Frequency domain channel estimation for SC-FDE in UWB communications","year":2005,"lang":"en","type":"article","venue":"GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"SC-FDE; Estimator; Channel (broadcasting); Frequency domain; Computer science; Transmission (telecommunications); Ultra-wideband; Equalization (audio); Algorithm; Upper and lower bounds; Minimum mean square error; Mean squared error; Electronic engineering; Telecommunications; Mathematics; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007114073,0.0005727723,0.0006439359,0.0005145107,0.0007267321,0.0001807325,0.005251226,0.0005356616,0.0001116467],"category_scores_gemma":[0.0001796896,0.0006940255,0.0002139191,0.001358318,0.0005105688,0.0007204691,0.000445474,0.0008808469,0.0003394033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251608,"about_ca_system_score_gemma":0.0003034016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000398883,"about_ca_topic_score_gemma":0.01671011,"domain_scores_codex":[0.9964955,0.0002758898,0.001357454,0.0004880883,0.000254222,0.001128822],"domain_scores_gemma":[0.9926305,0.0004580723,0.0002597201,0.006093317,0.0003349169,0.0002234116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004881618,0.002435318,0.002258276,0.0001541904,0.0005043883,0.000003370852,0.001647622,0.04405127,0.003564415,0.6673931,0.06368545,0.2142538],"study_design_scores_gemma":[0.003984205,0.000164568,0.004270731,0.0003529293,0.0001672827,0.0001657579,0.0009613457,0.5492945,0.001251146,0.1871919,0.2499282,0.002267567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1163238,0.0158653,0.5456467,0.0737399,0.001467069,0.007937591,0.002679644,0.007246397,0.2290936],"genre_scores_gemma":[0.7190179,0.002836901,0.2755969,0.0002693906,0.00004803192,0.001436255,0.0006435422,0.00005512206,0.00009597283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6026941,"threshold_uncertainty_score":0.9995511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502145290885426,"score_gpt":0.2772138634489533,"score_spread":0.252192410540099,"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."}}