{"id":"W1925674193","doi":"10.1109/tsp.2015.2468681","title":"Iterative Demodulation and Channel Estimation for Asynchronous Joint Multiple Access Reception","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Demodulation; Computer science; Estimator; Channel (broadcasting); Iterative method; Convergence (economics); Asynchronous communication; Algorithm; Control theory (sociology); Electronic engineering; Mathematical optimization; Telecommunications; Mathematics; Artificial intelligence; Statistics; 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":[0.001127493,0.0007273344,0.0005022778,0.0004384736,0.0003517529,0.0009015258,0.0006956745,0.0008707618,0.002321438],"category_scores_gemma":[0.004408696,0.0002854858,0.0004406943,0.0007270087,0.0008364485,0.0009575849,0.0008082638,0.001010314,0.0009627866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004107937,"about_ca_system_score_gemma":0.0005486055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000468028,"about_ca_topic_score_gemma":0.0006107594,"domain_scores_codex":[0.9991836,0.0003749949,0.00002547367,0.00008805007,0.0002743538,0.00005350447],"domain_scores_gemma":[0.998667,0.0008788599,0.000126919,0.0001352439,0.0001732842,0.00001862942],"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":[0.0001832456,0.00007156819,0.0008653461,0.0002954944,0.00006629393,0.0003767337,0.0002941237,0.4227452,0.03736394,0.3281091,0.00205768,0.2075713],"study_design_scores_gemma":[0.000009185617,0.0001153638,0.0002048596,0.00002276704,0.00001846119,0.0003163527,0.00002303763,0.9683253,0.005627485,0.02101424,0.004301093,0.000021875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002379846,0.0003056795,0.9953573,0.00004046794,0.00002791214,0.00001427677,0.000006068476,0.00006945943,0.001798966],"genre_scores_gemma":[0.3950749,0.002166162,0.5944403,0.0001779462,0.0004521027,0.0001780316,0.00007760301,0.0001073526,0.007325609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002321438,"threshold_uncertainty_score":0.007766008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0657500914792896,"score_gpt":0.3057118229766572,"score_spread":0.2399617314973675,"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."}}