{"id":"W1977132383","doi":"10.1109/tsp.2005.861779","title":"Design of block transceivers with decision feedback detection","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Transmitter; Minimum mean square error; Transceiver; Block (permutation group theory); Computer science; Bit error rate; Algorithm; Mean squared error; Transmission (telecommunications); Gaussian; Block code; Gaussian noise; Mathematics; Control theory (sociology); Decoding methods; Telecommunications; Statistics; Estimator; Artificial intelligence; Wireless","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":[0.00008355718,0.0001718483,0.0001687519,0.000214669,0.0001531712,0.0000231844,0.0001522335,0.00008988821,0.00001626355],"category_scores_gemma":[4.138347e-7,0.000165896,0.00004573114,0.0004368973,0.00007546849,0.0003118673,2.32922e-7,0.0002442402,0.000004442332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008955831,"about_ca_system_score_gemma":0.00002899368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008067193,"about_ca_topic_score_gemma":0.00002361029,"domain_scores_codex":[0.9991568,0.00002686697,0.0002740811,0.0001568658,0.0002221637,0.0001632096],"domain_scores_gemma":[0.9995123,0.0001010873,0.00006131847,0.0001916321,0.0001002948,0.00003335965],"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":[0.00007884271,0.00003900507,6.895315e-7,0.00003320144,0.000007566593,6.200905e-7,0.00004542424,0.6304672,0.1749732,0.000001702612,0.000002766065,0.1943498],"study_design_scores_gemma":[0.0003370952,0.0001163685,0.00001595033,0.0001926451,0.00002590878,0.00001100687,0.00003934277,0.1710481,0.8277256,0.0002846976,0.00003633195,0.0001669995],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0147237,0.000137801,0.9839888,0.000009270946,0.00002625787,0.0002077559,0.000003361868,0.0005999472,0.0003030863],"genre_scores_gemma":[0.9415045,0.00004481106,0.05832738,0.000005226641,0.00001054799,0.00004062369,6.739633e-7,0.00004700002,0.00001928263],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9267808,"threshold_uncertainty_score":0.6765044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175097021961348,"score_gpt":0.2222663167791849,"score_spread":0.2105153465595714,"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."}}