{"id":"W2140765246","doi":"10.1109/icuwb.2011.6058845","title":"Widely linear design of pre-equalization filters for multiuser pre-rake UWB systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rake; Phase-shift keying; Rake receiver; Equalization (audio); Computer science; Wideband; Transmitter; Multipath propagation; Electronic engineering; Spread spectrum; On-off keying; Keying; Algorithm; Bit error rate; Code division multiple access; Telecommunications; Engineering; Channel (broadcasting); Decoding methods","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":[0.0005999817,0.0007025995,0.0004077569,0.0002278292,0.0001492977,0.0007136971,0.0005347163,0.0009128785,0.001017699],"category_scores_gemma":[0.001536947,0.0002885176,0.0002925029,0.0002605921,0.0004143625,0.0007624017,0.0003486712,0.0006634112,0.00050729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003473932,"about_ca_system_score_gemma":0.0003312032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003041528,"about_ca_topic_score_gemma":0.0005256297,"domain_scores_codex":[0.9995893,0.0001528593,0.00002357313,0.00008054674,0.000108842,0.00004499678],"domain_scores_gemma":[0.9992624,0.000356194,0.000125417,0.00005615937,0.0001840147,0.00001581032],"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":[0.0002882079,0.0001218706,0.001205724,0.0005221933,0.0001497368,0.0003358123,0.0002876969,0.3916189,0.2016601,0.063476,0.0008164135,0.3395173],"study_design_scores_gemma":[0.00004485852,0.0004079916,0.0003658176,0.00005147756,0.00004387976,0.0003272269,0.00006871058,0.9213787,0.06167473,0.01008954,0.005510753,0.00003627415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008148827,0.000245426,0.990639,0.00004799553,0.00001209422,0.00001690549,0.00000607424,0.00003898784,0.0008447156],"genre_scores_gemma":[0.4597151,0.0009441647,0.5356997,0.0001318437,0.0000689532,0.0001094209,0.00004006278,0.00002790473,0.003263007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001017699,"threshold_uncertainty_score":0.003404498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06065812473147099,"score_gpt":0.2532810176391218,"score_spread":0.1926228929076508,"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."}}