{"id":"W2085545284","doi":"10.1016/s1051-2004(02)00007-6","title":"Spectrally efficient multiplexing of O-QPSK or VSB signals using wavelet packet-based filter banks","year":2002,"lang":"en","type":"article","venue":"Digital Signal Processing","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Multiplexing; Computer science; Filter bank; Filter (signal processing); Wavelet; Network packet; Phase-shift keying; Electronic engineering; Computer network; Telecommunications; Bit error rate; Artificial intelligence; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003137163,0.0003704352,0.0001990741,0.0004017082,0.0001838226,0.0004733967,0.0001889282,0.0002449238,0.001096268],"category_scores_gemma":[0.0006325702,0.0001353977,0.0001370906,0.0004422739,0.0002370438,0.0006316353,0.0003017652,0.0002959794,0.0003608843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193323,"about_ca_system_score_gemma":0.0002537692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002955426,"about_ca_topic_score_gemma":0.0006254673,"domain_scores_codex":[0.9999011,0.00002022263,0.000005935291,0.00001390871,0.00003887264,0.000019951],"domain_scores_gemma":[0.9997656,0.0001076049,0.00003064001,0.00002928069,0.00004838922,0.00001854567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00114989,0.0001311821,0.0009276721,0.00009235246,0.00003177309,0.0001045005,0.000133199,0.01215332,0.6649718,0.01855362,0.0008467762,0.300904],"study_design_scores_gemma":[0.00007663093,0.0004262328,0.002431674,0.00004459734,0.00004601692,0.0003258466,0.00006740005,0.4137609,0.563773,0.01212479,0.006879118,0.00004367873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4438685,0.0005805789,0.5465155,0.0002722897,0.0001421429,0.00005334049,0.0001141677,0.0003931716,0.00806036],"genre_scores_gemma":[0.8038999,0.0007564261,0.189529,0.0001208884,0.00009572529,0.00004683055,0.0001796027,0.00006123661,0.005310379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001096268,"threshold_uncertainty_score":0.003667414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360207901217558,"score_gpt":0.2561868909723533,"score_spread":0.2125848119601777,"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."}}