{"id":"W2140494713","doi":"10.1109/icc.2009.5199488","title":"Statistical Analysis of Multiple Access Interference in Asynchronous UWB Impulse Radio","year":2009,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Additive white Gaussian noise; Probability density function; Asynchronous communication; Multipath propagation; Fading; Wireless; Bandwidth (computing); Gaussian noise; Probability distribution; Interference (communication); White noise; Gaussian; Electronic engineering; Algorithm; Telecommunications; Mathematics; Statistics; Engineering; Channel (broadcasting); Physics; 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":[0.00185417,0.0002781943,0.0003201725,0.001163788,0.0002453353,0.0006220052,0.0004946754,0.0003255963,0.000418396],"category_scores_gemma":[0.009930486,0.0002808566,0.0002820042,0.0009719104,0.0008133437,0.000796577,0.000432285,0.0004493225,0.0001492984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005388855,"about_ca_system_score_gemma":0.0005140302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007541246,"about_ca_topic_score_gemma":0.0005887914,"domain_scores_codex":[0.9990133,0.0002918067,0.00003757613,0.00008530543,0.0005080723,0.0000638757],"domain_scores_gemma":[0.9922597,0.0058743,0.0007376713,0.0003755549,0.0006921993,0.00006060738],"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":[0.0001203308,0.00005736254,0.007528876,0.0001121838,0.00009726424,0.0003362079,0.0001396716,0.8027674,0.01360555,0.1065123,0.000616139,0.06810669],"study_design_scores_gemma":[0.000005877914,0.00003866972,0.003526007,0.000007670617,0.00001357235,0.0001464569,0.0000219443,0.9670304,0.002338307,0.02639712,0.0004541494,0.0000197117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07880349,0.000366751,0.918941,0.000113497,0.00002172856,0.00001672812,0.00005090064,0.0002104494,0.001475438],"genre_scores_gemma":[0.956898,0.0006475729,0.04098776,0.00006149076,0.0001067413,0.00006132257,0.0001441494,0.00004742746,0.001045563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00185417,"threshold_uncertainty_score":0.009805858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286596920409131,"score_gpt":0.2706742546638599,"score_spread":0.2578082854597685,"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."}}