{"id":"W2106534924","doi":"10.1109/glocom.2004.1379051","title":"Joint channel estimation and data detection for OFDM systems via sphere decoding","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Decoding methods; Joint (building); Orthogonal frequency-division multiplexing; Computer science; Channel (broadcasting); 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":[0.001049376,0.0007880286,0.0008043507,0.0005000939,0.0002917904,0.0007499254,0.0005793762,0.0007053091,0.001189226],"category_scores_gemma":[0.005174418,0.0003558182,0.0004851033,0.0007387798,0.000976062,0.001123586,0.001209133,0.0007156811,0.0009449634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005130911,"about_ca_system_score_gemma":0.001139989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001574875,"about_ca_topic_score_gemma":0.001482541,"domain_scores_codex":[0.9990101,0.0003633252,0.0000450113,0.00009103135,0.0004212632,0.00006924409],"domain_scores_gemma":[0.9978206,0.001246258,0.0001644246,0.0002903838,0.0004181132,0.0000603009],"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":[0.0001517172,0.00005135452,0.001002691,0.000148808,0.00007751313,0.0001345434,0.0001697056,0.695842,0.01370936,0.06847207,0.002388804,0.2178514],"study_design_scores_gemma":[0.000006246892,0.00002682013,0.00007013058,0.000004623439,0.000004108671,0.00004477609,0.000006736052,0.9877265,0.004156871,0.006904766,0.001041219,0.000007298483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002418388,0.0001093222,0.9968674,0.00003770073,0.000009331487,0.000006772053,0.00001318884,0.0001165098,0.0004213153],"genre_scores_gemma":[0.2334838,0.0005756022,0.7627998,0.00008861112,0.00008412205,0.000104228,0.0001764085,0.0000729021,0.002614593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001574875,"threshold_uncertainty_score":0.005549669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04688579716994803,"score_gpt":0.2886292202948318,"score_spread":0.2417434231248838,"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."}}