{"id":"W2135288797","doi":"10.1109/tsp.2003.815387","title":"Minimum ber block precoders for zero-forcing equalization","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Cyclic prefix; Mathematics; Orthogonal frequency-division multiplexing; Equalization (audio); Bit error rate; Minimum mean square error; Algorithm; Transmission (telecommunications); Control theory (sociology); Matrix (chemical analysis); Intersymbol interference; Signal-to-noise ratio (imaging); Telecommunications; Computer science; Statistics; Estimator","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":[0.0001481999,0.0001875541,0.0001613531,0.000167301,0.0003003286,0.00005742517,0.0001397164,0.0001122133,0.00002667089],"category_scores_gemma":[0.000005704524,0.0002132191,0.00007488889,0.0002798619,0.00003647371,0.0003959993,4.66057e-7,0.000201735,0.000006360931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108394,"about_ca_system_score_gemma":0.00003421688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001012564,"about_ca_topic_score_gemma":0.000004066014,"domain_scores_codex":[0.9990759,0.00003269961,0.0003082346,0.0001931801,0.0001396582,0.000250283],"domain_scores_gemma":[0.9994475,0.0001220426,0.00006005093,0.0002094525,0.0001012923,0.00005968551],"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":[0.00001723886,0.00005541993,0.000001800484,0.0001960515,0.00002459734,2.415506e-7,0.0004567862,0.8430734,0.04369969,0.0001623133,0.0000997007,0.1122128],"study_design_scores_gemma":[0.0003486223,0.00004804217,7.751399e-7,0.0001593721,0.00003035938,0.000005567516,0.000117312,0.2887047,0.7064717,0.001781938,0.002034727,0.0002969124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00237109,0.0002231568,0.9946887,0.00002110826,0.0001014486,0.0003575037,0.00000853568,0.0008972034,0.001331264],"genre_scores_gemma":[0.9527243,0.00005305533,0.04666863,0.00005467856,0.00001389164,0.0002342192,0.000003985749,0.00007812314,0.0001691359],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9503532,"threshold_uncertainty_score":0.8694824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02643842865564636,"score_gpt":0.2727327219690952,"score_spread":0.2462942933134488,"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."}}