{"id":"W2162184199","doi":"10.1109/tcomm.2010.072710.090036","title":"A Low Complexity Receiver for Noncoherent Amplify-and-Forward Cooperative Systems","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Relay; Frequency-shift keying; Diversity gain; Computer science; Keying; Signal-to-noise ratio (imaging); Time diversity; Antenna diversity; Channel (broadcasting); Electronic engineering; Bit error rate; Diversity combining; Diversity scheme; Energy (signal processing); Telecommunications; Mathematics; MIMO; Orthogonal frequency-division multiplexing; Wireless; Fading; Engineering; Demodulation; Power (physics); Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004308,0.0002116319,0.0002488526,0.000149028,0.001609264,0.0003166007,0.002044472,0.0001160427,0.00003649856],"category_scores_gemma":[0.00002418558,0.0002063346,0.0000954474,0.0004316696,0.0003666583,0.0003993488,0.00004303704,0.0007749048,0.00005033511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006115514,"about_ca_system_score_gemma":0.0001102814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003504467,"about_ca_topic_score_gemma":0.001205009,"domain_scores_codex":[0.9985762,0.0002886361,0.0003715738,0.0003514393,0.0001604798,0.0002517171],"domain_scores_gemma":[0.9954557,0.0009127482,0.0001165962,0.00292996,0.000420931,0.000164041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006176614,0.001805835,0.00002165776,0.00006810117,0.0002220513,6.954216e-7,0.004463518,0.004199295,0.01704692,0.7462837,0.00341066,0.2224159],"study_design_scores_gemma":[0.001992884,0.0003850813,0.0003539616,0.0001517933,0.00006811274,0.00004088624,0.0003041452,0.8407471,0.007002292,0.001883264,0.1461841,0.0008864901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001444066,0.000197037,0.989861,0.004472738,0.0007096384,0.0009622618,0.00007361861,0.0002536604,0.002026016],"genre_scores_gemma":[0.9525448,0.001338196,0.04424093,0.0003872257,0.00003240226,0.0008154066,0.00001969061,0.00001971029,0.0006016436],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9511007,"threshold_uncertainty_score":0.9996905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08433162697910217,"score_gpt":0.322204832675749,"score_spread":0.2378732056966468,"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."}}