{"id":"W2080150587","doi":"10.1002/ett.992","title":"Generation of multiple Rayleigh fading sequences with specified cross‐correlations","year":2004,"lang":"en","type":"article","venue":"European Transactions on Telecommunications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rayleigh fading; Fading; Toeplitz matrix; Algorithm; Computational complexity theory; Envelope (radar); Mathematics; Rayleigh scattering; Block (permutation group theory); Computer science; Telecommunications; Combinatorics; Physics; Optics; Decoding methods; Pure mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005668323,0.0001998748,0.0001886366,0.0003731558,0.001141243,0.0002362422,0.002637557,0.00005401632,0.00004175036],"category_scores_gemma":[0.00004497813,0.0001901018,0.0001065424,0.001352373,0.0003207373,0.0008206164,0.00006547159,0.0006193599,0.0001313573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001566004,"about_ca_system_score_gemma":0.0001719181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007113097,"about_ca_topic_score_gemma":0.0003132863,"domain_scores_codex":[0.9977817,0.0006068983,0.0005491938,0.0003739634,0.0003935359,0.0002947108],"domain_scores_gemma":[0.9959059,0.000459002,0.0001754429,0.002975426,0.0003576072,0.0001265623],"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":[0.00002076712,0.0006768887,0.0003771562,0.000009259014,0.00008235252,0.000003391886,0.001798601,0.9345208,0.00426233,0.02936502,0.00004514756,0.02883825],"study_design_scores_gemma":[0.009677669,0.002111605,0.1120896,0.0009400685,0.0001598373,0.0002756224,0.001104367,0.6765628,0.1748404,0.003159232,0.01582123,0.003257498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02140801,0.0001746182,0.9643615,0.001757595,0.00008029466,0.0003623448,0.00001487287,0.0002845276,0.01155619],"genre_scores_gemma":[0.8334132,0.0003695447,0.165797,0.0000571458,0.00002940459,0.00005341682,0.0000342178,0.00003110047,0.0002149954],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8120052,"threshold_uncertainty_score":0.8777634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08923396043761851,"score_gpt":0.3016175358699047,"score_spread":0.2123835754322862,"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."}}