{"id":"W2155107675","doi":"10.1109/icc.2004.1312622","title":"TCOFDM symbols detection : joint channel estimation and decoding","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Turbo code; Turbo equalizer; Computer science; Decoding methods; Estimator; Minimum mean square error; Maximum a posteriori estimation; Algorithm; Channel (broadcasting); Turbo; Detector; Bit error rate; Orthogonal frequency-division multiplexing; Joint (building); Concatenated error correction code; Mathematics; Maximum likelihood; Block code; Statistics; Telecommunications; Engineering","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":[0.001214874,0.0007013532,0.0007748688,0.0004489509,0.0003085812,0.0009524254,0.000661617,0.001177956,0.0008784969],"category_scores_gemma":[0.004598753,0.0002894502,0.000380081,0.0006076182,0.000685808,0.001310385,0.0008618392,0.0006177863,0.0006152681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003296344,"about_ca_system_score_gemma":0.001489949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508426,"about_ca_topic_score_gemma":0.00194838,"domain_scores_codex":[0.9986291,0.0005391817,0.00006724674,0.0001721131,0.0004703891,0.0001220474],"domain_scores_gemma":[0.997924,0.001082811,0.0001978523,0.000302563,0.0004303626,0.00006239192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007420217,0.0001416158,0.00406672,0.0003349805,0.0002070811,0.0005461128,0.0002206533,0.4613199,0.05180847,0.06722675,0.002588106,0.4107976],"study_design_scores_gemma":[0.0000207962,0.000108623,0.0005701644,0.00001265081,0.00002759382,0.0003018726,0.00001613819,0.9622874,0.0270953,0.007278697,0.00226078,0.00002007344],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01377694,0.0003706042,0.9840439,0.0001313937,0.00004755122,0.00003485603,0.00003586022,0.0002199398,0.001338956],"genre_scores_gemma":[0.5321344,0.0008607226,0.4607206,0.0001950931,0.0002241644,0.0001262335,0.0002282758,0.0000921048,0.005418444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001508426,"threshold_uncertainty_score":0.006424963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143114771503133,"score_gpt":0.2289071952798432,"score_spread":0.2145957181295299,"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."}}