{"id":"W2148920021","doi":"10.1109/tcomm.2010.01.070632","title":"Multiple description quantizer design for multiple-antenna systems with MAP detection","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Qualcomm (Canada); Queen's University","funders":"","keywords":"Transmitter; Algorithm; Maximum a posteriori estimation; Detector; Phase-shift keying; Computer science; Rayleigh fading; Block code; Keying; Decoding methods; Coding (social sciences); Channel (broadcasting); Electronic engineering; Mathematics; Theoretical computer science; Fading; Telecommunications; Bit error rate; 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":[0.001957465,0.0006456397,0.0007225833,0.0003374508,0.0002958008,0.001015253,0.001253109,0.0006357194,0.0020501],"category_scores_gemma":[0.003496206,0.0003733188,0.0002630035,0.0005801581,0.0005359575,0.001751252,0.0007734682,0.0009404687,0.0003812845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105654,"about_ca_system_score_gemma":0.0009689553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553592,"about_ca_topic_score_gemma":0.002003148,"domain_scores_codex":[0.9992319,0.0002648505,0.00004580605,0.000102006,0.0002900088,0.00006534475],"domain_scores_gemma":[0.9981445,0.001138898,0.0002218183,0.0001013084,0.0003563457,0.00003716804],"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":[0.0002555356,0.00007145668,0.0008067709,0.0003709032,0.00008427704,0.0001389401,0.0002008914,0.7249917,0.0137064,0.100538,0.002354117,0.1564811],"study_design_scores_gemma":[0.00002015679,0.00005115281,0.0000471784,0.000008920787,0.000009402767,0.00002105245,0.000008341059,0.9907224,0.002070533,0.006164331,0.0008673502,0.00000919319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006537826,0.0005694423,0.9917515,0.0001479004,0.00002680313,0.00003822871,0.00003987717,0.00007257897,0.0008158881],"genre_scores_gemma":[0.6986695,0.0009887904,0.2965494,0.0002045336,0.0001341539,0.0002481272,0.0001799113,0.00005218937,0.002973442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0020501,"threshold_uncertainty_score":0.01035219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04897969009259628,"score_gpt":0.2620750473849299,"score_spread":0.2130953572923336,"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."}}