{"id":"W2367195929","doi":"","title":"The Error Analysis of STTC for MB-OFDM UWB Communications","year":2010,"lang":"en","type":"article","venue":"Dianzi xuebao","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fading; Orthogonal frequency-division multiplexing; Spatial correlation; Antenna diversity; Computer science; Rayleigh fading; Space–time trellis code; Viterbi decoder; Trellis (graph); Transmitter; Diversity gain; Electronic engineering; Algorithm; Spatial multiplexing; Channel (broadcasting); Decoding methods; Antenna (radio); Telecommunications; MIMO; Block code; Engineering; Error floor","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":[],"consensus_categories":[],"category_scores_codex":[0.0002271662,0.00009279543,0.0001834262,0.0001322574,0.0002004552,0.00002252618,0.001084619,0.0000672461,0.00001672779],"category_scores_gemma":[0.0001061501,0.00007943258,0.0001398007,0.0005384221,0.0001582991,0.00009794031,0.0001193683,0.0002311704,0.000004879467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001961268,"about_ca_system_score_gemma":0.00001142137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002635028,"about_ca_topic_score_gemma":0.001089693,"domain_scores_codex":[0.9993899,0.00002246589,0.0002587612,0.00008064581,0.00007943577,0.0001687517],"domain_scores_gemma":[0.996963,0.0005934071,0.00007257982,0.002218845,0.0001132723,0.00003891657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003077516,0.0002938187,0.004033099,0.0001359182,0.003050771,3.787425e-7,0.002409644,0.02010567,0.1699339,0.4941632,0.0142383,0.2916045],"study_design_scores_gemma":[0.0002900668,0.00003063286,0.009592957,0.0000206973,0.0004746965,6.286597e-7,0.0003330636,0.3942034,0.0470062,0.007157623,0.5404777,0.0004122988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2424875,0.004846284,0.6993727,0.006766569,0.0008112299,0.002762389,0.0007934271,0.003414314,0.03874558],"genre_scores_gemma":[0.9572676,0.0005264865,0.04164317,0.00003081994,0.00001446369,0.0002620273,0.00007965459,0.0000264802,0.0001492635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7147802,"threshold_uncertainty_score":0.3239166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045371506472458,"score_gpt":0.312380039073061,"score_spread":0.2919263240083364,"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."}}