{"id":"W2159453617","doi":"10.1109/tcomm.2011.112811.100146a","title":"Design of Pre-Rake DS-UWB Downlink with Pre-Equalization","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rake; Rake receiver; Telecommunications link; Computer science; Electronic engineering; Transmitter; Intersymbol interference; Equalization (audio); Base station; Ultra-wideband; Channel (broadcasting); Engineering; Fading; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004684044,0.0008983613,0.0007107029,0.0002676277,0.0003306236,0.00103458,0.0006665695,0.0008125737,0.001183619],"category_scores_gemma":[0.0008396523,0.0003797267,0.0003453877,0.0002744447,0.0003888506,0.0004694759,0.0004691542,0.0005502821,0.000773926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000624049,"about_ca_system_score_gemma":0.000931609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304455,"about_ca_topic_score_gemma":0.001453515,"domain_scores_codex":[0.9995065,0.0001301041,0.00002574925,0.00009549769,0.0001773347,0.00006494218],"domain_scores_gemma":[0.9996564,0.00007935037,0.0000558453,0.00003356652,0.0001533424,0.00002138746],"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":[0.0002753216,0.0001216924,0.001782332,0.0003171226,0.0001036091,0.0002801359,0.0001535747,0.7480512,0.09538686,0.01782165,0.001535131,0.1341714],"study_design_scores_gemma":[0.00003138743,0.000251729,0.0003989932,0.00001886398,0.00003409391,0.0001569096,0.00004170344,0.9646185,0.02901058,0.002039864,0.00337513,0.00002216886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01723882,0.0002712447,0.9788187,0.00008279577,0.00003003876,0.00006415282,0.00004410475,0.0001483029,0.003301934],"genre_scores_gemma":[0.6628357,0.0008107468,0.3306897,0.0001419542,0.00007768274,0.0002601717,0.0001355903,0.00004498664,0.005003574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001304455,"threshold_uncertainty_score":0.004527807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04457797863115309,"score_gpt":0.2449647969661802,"score_spread":0.2003868183350271,"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."}}