{"id":"W2101028669","doi":"10.1109/bsc.2010.5473005","title":"High resolution quantization codebook design for multiple-antenna fading channels","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Codebook; Linde–Buzo–Gray algorithm; Quantization (signal processing); Fading; Vector quantization; Algorithm; Mathematics; Asymptotically optimal algorithm; Topology (electrical circuits); Computer science; Combinatorics; Decoding methods","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":[0.001504815,0.0004580546,0.0007850792,0.0004379064,0.0003348642,0.0009616714,0.001174829,0.0006429811,0.002323846],"category_scores_gemma":[0.007534069,0.0003759958,0.000261613,0.0007180271,0.0007272252,0.00166806,0.000854532,0.0008161655,0.0006836831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151828,"about_ca_system_score_gemma":0.001335569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002751526,"about_ca_topic_score_gemma":0.002189345,"domain_scores_codex":[0.9987906,0.0003617688,0.00006226984,0.0001554078,0.0005299613,0.0001000237],"domain_scores_gemma":[0.9970372,0.001468485,0.0002475492,0.0002911146,0.0008600937,0.00009566708],"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":[0.0002550189,0.00004722165,0.001002284,0.0002145845,0.00003693316,0.0001202783,0.0001691624,0.685018,0.0188004,0.1326231,0.003209365,0.1585037],"study_design_scores_gemma":[0.00001640535,0.00003910124,0.0001067889,0.00001222357,0.000004372585,0.00005045105,0.00001438475,0.9828364,0.00339997,0.01245385,0.001051782,0.00001421007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006770161,0.0002567751,0.9916356,0.0000972677,0.00002515193,0.00002988569,0.00005141976,0.0001305391,0.001003267],"genre_scores_gemma":[0.6267551,0.00079305,0.3665426,0.0001973532,0.0001007009,0.0002083002,0.0003983325,0.0001251795,0.004879332],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002751526,"threshold_uncertainty_score":0.008357167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02632382847042999,"score_gpt":0.2384447607691078,"score_spread":0.2121209322986778,"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."}}