{"id":"W2159013815","doi":"10.1109/t-wc.2008.070222","title":"Performance Analysis and Multi-Stage Iterative Receiver Design for Concatenated Space- Frequency Block Coding Schemes","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Demodulation; Single antenna interference cancellation; Algorithm; Turbo code; Orthogonal frequency-division multiplexing; Fading; Turbo; MIMO; Detector; Decoding methods; Bit error rate; Block code; QR decomposition; Telecommunications; Eigenvalues and eigenvectors; Channel (broadcasting)","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":[0.001883255,0.0009668492,0.0007721786,0.0004841137,0.0003680506,0.0009319831,0.0007944665,0.000860037,0.002069154],"category_scores_gemma":[0.004743831,0.0004565241,0.0006552275,0.0005351889,0.0005969509,0.000926113,0.000765138,0.0008948053,0.001063698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115793,"about_ca_system_score_gemma":0.00138439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001663936,"about_ca_topic_score_gemma":0.001811044,"domain_scores_codex":[0.9980727,0.0006772475,0.00009437582,0.0001499213,0.0008797097,0.0001260259],"domain_scores_gemma":[0.9979182,0.00104171,0.0002114675,0.0002236161,0.0005665027,0.00003847647],"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":[0.0002055517,0.00004445705,0.001239433,0.0001829847,0.00008527272,0.0001215775,0.0001973757,0.8518431,0.03656265,0.03446897,0.0006278488,0.07442081],"study_design_scores_gemma":[0.000009327327,0.00009352585,0.0001787073,0.00001224752,0.00001551528,0.00009202574,0.000007746163,0.9854429,0.01162629,0.001761568,0.0007438849,0.00001624162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008959356,0.0002714785,0.9891931,0.000044237,0.000009159866,0.00002927617,0.00002176461,0.0001502621,0.001321288],"genre_scores_gemma":[0.4933238,0.0009171881,0.5024183,0.0000731764,0.00005465721,0.0001611502,0.0001637273,0.00008573999,0.0028022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002069154,"threshold_uncertainty_score":0.009959698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07224077847140656,"score_gpt":0.2981613993434873,"score_spread":0.2259206208720807,"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."}}