{"id":"W2166969896","doi":"10.1109/icc.2004.1312448","title":"Efficient filter bank design for filtered multitone modulation","year":2004,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Digital subscriber line; Computer science; Filter bank; Filter design; Filter (signal processing); Electronic engineering; Root-raised-cosine filter; Prototype filter; Intersymbol interference; Modulation (music); Spectral efficiency; Telecommunications; Engineering; Acoustics; Physics; Channel (broadcasting)","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":[0.0000642758,0.00008856862,0.00007478079,0.00006037992,0.00003710328,0.00001651786,0.00005582076,0.00004678661,0.0001287706],"category_scores_gemma":[0.00002120939,0.0000861625,0.00004114892,0.00007360861,0.00001118198,0.00003673677,0.000006295698,0.00003860296,0.000103895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009812976,"about_ca_system_score_gemma":0.000007143338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004729976,"about_ca_topic_score_gemma":5.5586e-7,"domain_scores_codex":[0.9995148,0.000005322022,0.0001339565,0.0001114958,0.00007839656,0.0001560461],"domain_scores_gemma":[0.9997474,0.00003062393,0.00001146145,0.0001409011,0.00002945005,0.00004016774],"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":[0.00000560128,0.00001503739,0.000002347034,0.00001268638,0.00001090498,2.648553e-7,0.00007916579,0.9610894,0.03593374,0.0004379073,0.001451671,0.0009612206],"study_design_scores_gemma":[0.0006944793,0.00002197476,0.0008280984,0.00001023333,0.000005409735,0.000003728921,0.00001501725,0.8809048,0.1158944,0.0004433149,0.001046178,0.0001324131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09761,0.0000229228,0.8994851,0.00006464793,0.0006044424,0.0003406891,0.000005175436,0.0003845466,0.001482527],"genre_scores_gemma":[0.8705333,0.000001262082,0.128849,0.00001971703,0.0001195249,0.00007338183,0.000007655579,0.00002270275,0.0003734792],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7729233,"threshold_uncertainty_score":0.3513605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03252379955394027,"score_gpt":0.2455489325487145,"score_spread":0.2130251329947742,"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."}}