{"id":"W2741407548","doi":"10.1109/cwit.2017.7994830","title":"On linear analog coding of sources with memory over fading and broadcast channels with correlated noise","year":2017,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Fading; Encoder; Rayleigh fading; Algorithm; Computer science; Channel state information; Decoding methods; Quantization (signal processing); Mathematics; Telecommunications; Wireless","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":[0.0008007177,0.0006009927,0.00059677,0.0003257074,0.0001811531,0.0005173403,0.0005127284,0.0004093951,0.001008817],"category_scores_gemma":[0.00287899,0.0002133771,0.0002524846,0.0007383054,0.0008205203,0.0007821214,0.0007047481,0.00045868,0.000132731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006268931,"about_ca_system_score_gemma":0.0007207096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003549216,"about_ca_topic_score_gemma":0.002735601,"domain_scores_codex":[0.9995653,0.0001741956,0.00001387522,0.00004014439,0.000154507,0.00005195219],"domain_scores_gemma":[0.9982641,0.001339459,0.0001539611,0.00007778833,0.0001476319,0.00001693079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000116812,0.00001748744,0.0002896046,0.00008436207,0.00002738556,0.00009801471,0.00006268109,0.9383399,0.00493315,0.03018267,0.0003407615,0.0255072],"study_design_scores_gemma":[0.000005407027,0.00003859008,0.00007744836,0.000006571762,0.000008741004,0.00003269424,0.000008425918,0.9950137,0.001401539,0.003238207,0.0001633465,0.000005436142],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08728086,0.001223146,0.9054721,0.0002054319,0.00003493356,0.0000419774,0.00005871969,0.0001089213,0.005573843],"genre_scores_gemma":[0.9574084,0.001434453,0.03801705,0.00005041561,0.0000598663,0.00004867852,0.00008763513,0.00002192845,0.002871396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003549216,"threshold_uncertainty_score":0.00705713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134127065349794,"score_gpt":0.2366762763987694,"score_spread":0.22326356986379,"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."}}