{"id":"W2166186983","doi":"10.1109/bsc.2006.1644582","title":"Optimum Linear Systems for Power Constrained Transmission","year":2006,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transmitter; Bandlimiting; Transmission (telecommunications); Computer science; Bandwidth (computing); Band-pass filter; Linear filter; Gaussian; Distortion (music); Control theory (sociology); Mathematics; Channel (broadcasting); Electronic engineering; Filter (signal processing); Algorithm; Telecommunications; Fourier transform; Physics; Engineering; Mathematical analysis; Amplifier","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":[0.0002632909,0.00008088953,0.0001003225,0.00006313097,0.00006032593,0.0001144462,0.0002824442,0.00006663694,0.00001564892],"category_scores_gemma":[0.000005045531,0.00006528645,0.00005532887,0.0001167817,0.00002036656,0.0002295924,0.00001844303,0.00004443175,0.00001183795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001158573,"about_ca_system_score_gemma":0.00004393941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003301103,"about_ca_topic_score_gemma":6.542462e-7,"domain_scores_codex":[0.9993089,0.00002908931,0.0001942981,0.0001985146,0.0001266805,0.0001425256],"domain_scores_gemma":[0.9995444,0.0000634593,0.00004111502,0.0002216808,0.0000890131,0.00004036323],"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":[0.000005174287,0.00006184012,0.000009816043,0.00001289104,0.000004201319,0.00000150405,0.0001390739,0.0009659652,0.003654969,0.9741619,0.01905832,0.001924363],"study_design_scores_gemma":[0.0005693221,0.000196862,0.00004858517,0.00002200158,0.000003034735,0.00001597034,0.00002671988,0.7401492,0.02467158,0.006545633,0.2275092,0.0002418678],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004237403,0.00007403964,0.9685695,0.001191852,0.00009018228,0.0003681952,0.000001864905,0.0006782538,0.02860239],"genre_scores_gemma":[0.5043385,0.000003075034,0.491275,0.0003124465,0.0000396632,0.0000427681,0.000005905445,0.000007887759,0.003974697],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9676163,"threshold_uncertainty_score":0.2662304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331659150191998,"score_gpt":0.2621700503558828,"score_spread":0.2488534588539628,"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."}}