{"id":"W2171929356","doi":"10.1109/icc.2007.137","title":"Cochannel Interference Whitening Receiver Designs for BPSK in Nakagami-m/Rayleigh Fading","year":2007,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Interference (communication); Signal-to-interference-plus-noise ratio; Rayleigh fading; Matched filter; Phase-shift keying; Adjacent-channel interference; Noise (video); Intersymbol interference; Channel (broadcasting); Filter (signal processing); Co-channel interference; Single antenna interference cancellation; Computer science; Electronic engineering; Telecommunications; Fading; Physics; Bit error rate; Engineering; Power (physics)","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":[0.002157191,0.001341733,0.0008721847,0.0006700197,0.000567257,0.001041578,0.001056142,0.001283014,0.001630161],"category_scores_gemma":[0.003722152,0.000369097,0.0005765263,0.0008145715,0.0007165973,0.000846598,0.0005602238,0.0009164167,0.00101168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008025588,"about_ca_system_score_gemma":0.001125446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001466215,"about_ca_topic_score_gemma":0.002135975,"domain_scores_codex":[0.9980887,0.0007495036,0.0001029561,0.0002503821,0.0006031236,0.0002054437],"domain_scores_gemma":[0.9980822,0.0008047679,0.0002901122,0.000149908,0.0006268576,0.00004613322],"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":[0.001191464,0.0002866278,0.0024163,0.0007470477,0.0003407224,0.0007014046,0.0004934854,0.4266806,0.1018595,0.07389158,0.0021976,0.3891936],"study_design_scores_gemma":[0.00007540987,0.0006165777,0.0006977998,0.00005274075,0.0001561641,0.00065232,0.00004629591,0.9421463,0.04206571,0.01026943,0.003154309,0.00006686406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02023837,0.0006622987,0.9758015,0.00009640695,0.00006042431,0.00008076549,0.00003238926,0.0003715262,0.002656412],"genre_scores_gemma":[0.5852764,0.001006746,0.40832,0.0002088178,0.0002089202,0.0002598938,0.000127646,0.00006226467,0.004529411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002157191,"threshold_uncertainty_score":0.01140851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09722698632864059,"score_gpt":0.3464835147311828,"score_spread":0.2492565284025423,"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."}}