{"id":"W2158405373","doi":"10.1109/icc.2007.718","title":"MIMO Precoders Using Spatial and Path Correlations for Multipath Fading Channels","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Spatial correlation; MIMO; Fading; Uncorrelated; Precoding; Channel (broadcasting); Multipath propagation; Algorithm; Mathematics; Path (computing); Computer science; Topology (electrical circuits); Telecommunications; Statistics; Computer network","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":[0.0005053147,0.0008154817,0.0005030008,0.0002132799,0.0002706161,0.0004798959,0.0004061584,0.0004195229,0.0009177441],"category_scores_gemma":[0.001855665,0.0003634998,0.0003790352,0.0004449982,0.0004821424,0.0006390224,0.0003839775,0.0005594664,0.0004149311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002822216,"about_ca_system_score_gemma":0.0007889862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007310985,"about_ca_topic_score_gemma":0.002152352,"domain_scores_codex":[0.9995849,0.0001148658,0.00002126993,0.00006989735,0.0001532316,0.0000558965],"domain_scores_gemma":[0.9992412,0.0003637943,0.0001010518,0.0001162771,0.0001535107,0.00002410312],"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":[0.0001649346,0.00007670184,0.0009620663,0.0001739689,0.0001349821,0.0001950555,0.0001033202,0.7246199,0.03734708,0.04860928,0.001748734,0.185864],"study_design_scores_gemma":[0.00003600624,0.0002060952,0.0004814013,0.00002971639,0.00006975653,0.0002411686,0.00002423362,0.9654086,0.01822832,0.01180415,0.003441639,0.00002887039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01358748,0.0002524966,0.9840481,0.00006225603,0.0000307674,0.000024112,0.00003362133,0.0001061452,0.001854891],"genre_scores_gemma":[0.5712234,0.001319601,0.4232458,0.0001784505,0.0002068138,0.0001239101,0.0001605988,0.00004628289,0.003495133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009177441,"threshold_uncertainty_score":0.003070116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116479568587825,"score_gpt":0.25405440086588,"score_spread":0.2328896051800018,"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."}}