{"id":"W2150822965","doi":"10.1109/vetecs.2005.1543629","title":"Transmitter Precoding for ICI Reduction in OFDM Systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Precoding; Transmitter; Orthogonal frequency-division multiplexing; Bit error rate; Channel state information; Computer science; Reduction (mathematics); Channel (broadcasting); Offset (computer science); Degradation (telecommunications); Electronic engineering; Algorithm; Control theory (sociology); Telecommunications; Wireless; Mathematics; MIMO; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001260888,0.0003018602,0.0002381143,0.0001682146,0.0002426463,0.0003548448,0.0002849167,0.000247713,0.001319884],"category_scores_gemma":[0.0007600906,0.0001537832,0.0001560256,0.0002899269,0.0002223563,0.0003046528,0.0002494531,0.0004855526,0.0004012841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00018326,"about_ca_system_score_gemma":0.0004679133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004544766,"about_ca_topic_score_gemma":0.001308652,"domain_scores_codex":[0.9998584,0.00003808463,0.000007988036,0.0000212562,0.00005965224,0.00001467214],"domain_scores_gemma":[0.9998267,0.00005711152,0.00002537532,0.00003211971,0.00005095391,0.000007684685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003377989,0.00008399819,0.0008407149,0.0002666947,0.00005425851,0.0002504518,0.0001946215,0.06762081,0.4025558,0.02620508,0.002414173,0.4991755],"study_design_scores_gemma":[0.00006862162,0.0005969969,0.001511981,0.00003605588,0.00006347261,0.0007196907,0.00004506887,0.701682,0.279244,0.005240065,0.01075957,0.0000325666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04400314,0.0005469045,0.9520895,0.0001487527,0.0000718202,0.00003204086,0.00003690111,0.0003049325,0.002766086],"genre_scores_gemma":[0.5708508,0.0009565916,0.4222096,0.0001432327,0.0001659825,0.00006532277,0.0001212308,0.00005396259,0.005433254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001319884,"threshold_uncertainty_score":0.004415452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733038194180806,"score_gpt":0.2563962717877359,"score_spread":0.2390658898459278,"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."}}