{"id":"W2171744213","doi":"10.1109/twc.2006.04530","title":"Modeling of multiple access interference and BER derivation for TH and DS UWB multiple access systems","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Additive white Gaussian noise; Bit error rate; Fading; Algorithm; Ultra-wideband; Pulse-position modulation; Computer science; Time-hopping; Modulation (music); Nakagami distribution; Interference (communication); Mathematics; Channel (broadcasting); Pulse-amplitude modulation; Telecommunications; Decoding methods; Pulse (music); Physics","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":[0.0008923158,0.0008926794,0.0008432732,0.0009205715,0.0003681894,0.0008453034,0.001297776,0.001145881,0.002576896],"category_scores_gemma":[0.002863495,0.0004237427,0.0007360248,0.0008416846,0.000536496,0.001329687,0.0007286983,0.00128984,0.001323097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000831186,"about_ca_system_score_gemma":0.0007301665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001828645,"about_ca_topic_score_gemma":0.001251238,"domain_scores_codex":[0.9994158,0.0001229508,0.00003568532,0.00006465425,0.0003182084,0.00004270151],"domain_scores_gemma":[0.9991164,0.0004172891,0.00009855098,0.00009401424,0.0002574287,0.00001645812],"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":[0.00002630021,0.0000302447,0.0005059749,0.0002125675,0.00002576561,0.0003819552,0.0001870785,0.7662553,0.00971528,0.1901671,0.001706759,0.03078575],"study_design_scores_gemma":[0.000002068879,0.00001875097,0.0001230875,0.00001308677,0.000005317368,0.0001701387,0.00001168787,0.9811683,0.0009500489,0.01573173,0.001797064,0.000008839326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002842358,0.0005476769,0.9906129,0.0001184132,0.00004487341,0.00002615796,0.00007219139,0.0001521766,0.00558329],"genre_scores_gemma":[0.5227173,0.005779235,0.4394967,0.0005923063,0.000404599,0.0005493182,0.0003947191,0.000359461,0.02970637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002576896,"threshold_uncertainty_score":0.00862056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04244264657749041,"score_gpt":0.2760460784515616,"score_spread":0.2336034318740712,"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."}}