{"id":"W2058117026","doi":"10.1109/icc.2013.6655473","title":"Low complexity estimation of fast fading radio channels for higher order modulation","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Fading; Computer science; Bit error rate; Algorithm; Equalization (audio); Kalman filter; Channel (broadcasting); Autoregressive model; Decoding methods; Channel state information; Mathematics; Telecommunications; Statistics; Wireless; Artificial intelligence","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":[0.0004128755,0.0004856313,0.0005302156,0.0003444277,0.0002565134,0.0004856435,0.0003006201,0.0003897303,0.0008625248],"category_scores_gemma":[0.002409097,0.0002518213,0.0002869942,0.0002531361,0.0003025174,0.0006994192,0.0004858692,0.000630436,0.0003418863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001950563,"about_ca_system_score_gemma":0.000560644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001359345,"about_ca_topic_score_gemma":0.002320771,"domain_scores_codex":[0.9996964,0.00008042826,0.0000120176,0.00003970991,0.000141366,0.00003017349],"domain_scores_gemma":[0.999313,0.000416592,0.00007549181,0.00009709939,0.00008589823,0.00001186993],"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":[0.0002037511,0.00004971461,0.001949877,0.0001790501,0.00006812844,0.0001387664,0.0001746941,0.5040667,0.08022182,0.02157077,0.001028613,0.3903481],"study_design_scores_gemma":[0.00001100985,0.00005308333,0.001100808,0.00001174029,0.00001320177,0.0001347936,0.00001352978,0.9813799,0.01147088,0.004209488,0.001580292,0.00002124829],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01254807,0.0001866296,0.986631,0.00003574901,0.0000175672,0.000008585935,0.00001517029,0.0001456178,0.0004116327],"genre_scores_gemma":[0.44133,0.0006598659,0.5555211,0.00004905215,0.00008396737,0.00004054805,0.000107544,0.00006608132,0.002141851],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001359345,"threshold_uncertainty_score":0.002885461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194031799902887,"score_gpt":0.2726576872707373,"score_spread":0.2407173692717084,"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."}}