{"id":"W2145502169","doi":"10.1109/tcomm.2007.902531","title":"Stochastic Differential Equation Theory Applied to Wireless Channels","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Fading; Autoregressive model; Wireless; Multipath propagation; Stochastic process; Stochastic differential equation; Computer science; Channel (broadcasting); Rayleigh fading; Stochastic modelling; Markov process; Channel state information; Mathematics; Applied mathematics; Telecommunications; Statistics","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":[0.0005641204,0.0008426732,0.0008426925,0.0005998496,0.0003811048,0.001189617,0.0005569116,0.0008908262,0.003840026],"category_scores_gemma":[0.001668178,0.0002755835,0.0009024608,0.001042569,0.0009311226,0.0009761345,0.0009135528,0.001768412,0.0009045614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009837778,"about_ca_system_score_gemma":0.00096409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004638842,"about_ca_topic_score_gemma":0.00211861,"domain_scores_codex":[0.9996381,0.0001453487,0.00001984467,0.00004628293,0.0001208961,0.00002939779],"domain_scores_gemma":[0.9994148,0.0003467781,0.00005348639,0.00003484245,0.0001273259,0.00002272014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009164819,0.00001346859,0.0004418043,0.0001381455,0.00004809336,0.0001688849,0.0001047888,0.1953509,0.001024781,0.7786933,0.005445931,0.01856068],"study_design_scores_gemma":[0.000008760551,0.00001389566,0.000236939,0.00002949246,0.00001097011,0.0000749902,0.00002906559,0.6398557,0.0002316624,0.3446021,0.01489199,0.00001437485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003800043,0.005329464,0.9668368,0.001731984,0.0005907572,0.00003324122,0.0002503959,0.0001513901,0.02127602],"genre_scores_gemma":[0.6887023,0.02734145,0.218723,0.001436115,0.002410499,0.0005440935,0.0008746753,0.000293587,0.0596742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004638842,"threshold_uncertainty_score":0.01284617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535499359003199,"score_gpt":0.2581639917742672,"score_spread":0.2328089981842352,"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."}}