{"id":"W2168330445","doi":"10.1155/s1110865704311157","title":"Adaptive Zero-Padding OFDM over Frequency-Selective Multipath Channels","year":2004,"lang":"en","type":"article","venue":"EURASIP Journal on Advances in Signal Processing","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Guard interval; Cyclic prefix; Computer science; Padding; Delay spread; Channel (broadcasting); Frequency-division multiplexing; Electronic engineering; Multipath propagation; Algorithm; Telecommunications; Engineering","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":[0.0003484958,0.0003795885,0.0003875337,0.0004622715,0.0003026745,0.0001252295,0.0005246954,0.0001218526,0.00002323335],"category_scores_gemma":[0.00008247216,0.0003711018,0.00009225161,0.0007187863,0.0001142463,0.00245735,0.00004721666,0.001478827,0.00001254747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009221801,"about_ca_system_score_gemma":0.00008990585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002877268,"about_ca_topic_score_gemma":0.000007493148,"domain_scores_codex":[0.9979942,0.0000820584,0.0006453322,0.0003006444,0.000435181,0.0005425535],"domain_scores_gemma":[0.999016,0.0001529438,0.0002951491,0.0002144999,0.0001728314,0.0001485546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007452587,0.0001025757,0.0003058825,0.00005510496,0.00001814674,0.00008997889,0.001159015,0.7699441,0.01189341,0.001250072,0.00001469385,0.2150925],"study_design_scores_gemma":[0.006988197,0.001657309,0.001773144,0.01145692,0.00005268526,0.000807946,0.001905986,0.1405305,0.3590111,0.4682896,0.00396997,0.003556553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03749738,0.01612551,0.9385335,0.00006315002,0.000304098,0.0003181675,0.000005976885,0.0006364242,0.006515789],"genre_scores_gemma":[0.9368589,0.002064101,0.06063524,0.0001191859,0.0001776322,0.00003992419,0.000002212662,0.00009218477,0.00001063487],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8993615,"threshold_uncertainty_score":0.9998741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674455444589166,"score_gpt":0.2878865999519468,"score_spread":0.2711420455060551,"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."}}