{"id":"W2171470636","doi":"10.1109/lcomm.2005.1431159","title":"An efficient generalized sphere decoder for rank-deficient MIMO systems","year":2005,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Colorado Boulder","keywords":"MIMO; Decoding methods; Mathematics; Metric (unit); Rank (graph theory); Factorization; Topology (electrical circuits); Algorithm; Constant (computer programming); Channel (broadcasting); Constellation; Control theory (sociology); Applied mathematics; Combinatorics; Telecommunications; Computer science; Statistics; Beamforming","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002729754,0.0002262085,0.0002430198,0.0001367381,0.000325385,0.00009107385,0.001905082,0.00008933511,0.00001101292],"category_scores_gemma":[0.00001499476,0.0002525536,0.0001021139,0.0002312454,0.0001299845,0.0001879685,0.00008400028,0.0002427564,0.00002692231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000268435,"about_ca_system_score_gemma":0.00001509033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003130705,"about_ca_topic_score_gemma":0.00005370389,"domain_scores_codex":[0.9987087,0.0001390831,0.0004845238,0.0002081308,0.0001368942,0.0003226844],"domain_scores_gemma":[0.9954973,0.0002069012,0.0000951148,0.003990415,0.0001121771,0.00009813332],"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":[0.000005029131,0.0001067711,0.00001800731,0.00002459522,0.0000295208,7.678867e-8,0.000305957,0.890974,0.08923634,0.006297807,0.004903177,0.008098668],"study_design_scores_gemma":[0.0004641518,0.00001360425,0.00002979818,0.00003948578,0.0000210009,0.000003097668,0.00007449555,0.8422235,0.01123668,0.00003807233,0.145534,0.0003221464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1126337,0.003609985,0.8779832,0.002214197,0.0002256853,0.0009882695,0.000059584,0.001626925,0.0006584669],"genre_scores_gemma":[0.7713526,0.0004198827,0.2265481,0.0005177,0.00006908871,0.000890861,0.0001054951,0.00007499128,0.00002123088],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6587189,"threshold_uncertainty_score":0.9999927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588018842045876,"score_gpt":0.2917234236327531,"score_spread":0.2658432352122944,"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."}}