{"id":"W2062139809","doi":"10.1109/vtcfall.2012.6399017","title":"SVD-Based Channel Estimation for MIMO Relay Networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Singular value decomposition; MIMO; Channel (broadcasting); Relay; Singular value; Computer science; Matrix (chemical analysis); Algorithm; Transmitter; Mathematics; Control theory (sociology); Eigenvalues and eigenvectors; Telecommunications; Artificial intelligence; Physics","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":[0.0004402101,0.00008088951,0.00008014893,0.00004623156,0.0002071331,0.00007526681,0.000452969,0.00004090026,0.00002419011],"category_scores_gemma":[0.00004976625,0.00007075765,0.00004522855,0.0002362534,0.00001517931,0.000430241,0.0001078039,0.00006985872,0.00002795845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002767265,"about_ca_system_score_gemma":0.00002006244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001160085,"about_ca_topic_score_gemma":0.000004910845,"domain_scores_codex":[0.9993604,0.00005830591,0.0001381922,0.0001263344,0.00007614513,0.0002405569],"domain_scores_gemma":[0.9991008,0.0002164267,0.0000487549,0.0004651019,0.0000853668,0.00008356194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001255234,0.0001901651,0.0003997257,0.00001253767,0.00001736562,1.702392e-7,0.0006574516,0.1146858,0.0001237612,0.5781295,0.0313036,0.2744674],"study_design_scores_gemma":[0.0002154786,0.00002350655,0.0005314415,0.00001057025,0.000002353187,7.389267e-7,0.000003658647,0.9893234,0.0003848185,0.0001817777,0.009219983,0.0001022272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000269833,0.0004220593,0.9940555,0.002191023,0.0003519313,0.0002094972,2.570047e-7,0.000177936,0.002321975],"genre_scores_gemma":[0.830101,0.00003280934,0.1679491,0.001329659,0.0001001102,0.00006343278,0.000009106267,0.000005847626,0.0004089478],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8746377,"threshold_uncertainty_score":0.2885413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05306906228526653,"score_gpt":0.2978112054026764,"score_spread":0.2447421431174099,"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."}}