{"id":"W2109678631","doi":"10.1109/aps.2010.5561822","title":"Experimental verification of an adaptive UWB beamformer based on multidimensional filtering in a real radio channel","year":2010,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Computer science; Multipath propagation; Wideband; Interference (communication); Channel (broadcasting); Adaptive beamformer; Electronic engineering; WSDMA; Antenna array; Antenna (radio); Precoding; Telecommunications; MIMO; 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":[0.00078702,0.0005226299,0.000331773,0.0002408577,0.0002863207,0.0004224926,0.0006007096,0.0009255366,0.00223858],"category_scores_gemma":[0.002199302,0.0002693808,0.0002494322,0.0002579174,0.0007762956,0.0006291482,0.0005341267,0.0004136779,0.0005446567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823753,"about_ca_system_score_gemma":0.0002824633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003441853,"about_ca_topic_score_gemma":0.000355523,"domain_scores_codex":[0.9993839,0.0001355104,0.00004022969,0.0001186819,0.0002459277,0.00007572504],"domain_scores_gemma":[0.9972892,0.001304529,0.0002887987,0.0004044402,0.0005998412,0.0001132193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004132945,0.0001612888,0.0004851728,0.0001260029,0.00001680115,0.0001594084,0.0001903122,0.005521006,0.979992,0.0007712155,0.0001437565,0.0120197],"study_design_scores_gemma":[0.0001618435,0.002101032,0.002718847,0.00002633662,0.00003317079,0.0004201368,0.0001242679,0.02937635,0.9632767,0.0003293791,0.001390925,0.00004090503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8280029,0.0001870453,0.1668226,0.0002628616,0.0001548928,0.0001115722,0.0001736544,0.0005156297,0.00376885],"genre_scores_gemma":[0.9503641,0.0001528427,0.047194,0.00007971787,0.00002100429,0.00007200852,0.00007961949,0.00005174174,0.001984938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00223858,"threshold_uncertainty_score":0.007488787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496382293928854,"score_gpt":0.2415699687424114,"score_spread":0.2266061458031229,"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."}}