{"id":"W1854617564","doi":"10.1002/0471219282.eot353","title":"Nonuniformly Spaced Tapped‐Delay‐Line Equalizers For Sparse Multipath Channels","year":2003,"lang":"en","type":"other","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Multipath propagation; Delay spread; Line (geometry); Computer science; Channel (broadcasting); Algorithm; Class (philosophy); Acoustics; Electronic engineering; Control theory (sociology); Physics; Mathematics; Engineering; Telecommunications; Geometry","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":[0.000192548,0.0003882883,0.0001864148,0.0002869345,0.0001419486,0.0004722564,0.0002882751,0.000300046,0.003221521],"category_scores_gemma":[0.0007410237,0.00009710532,0.000119723,0.0003555932,0.0003065542,0.0006687243,0.0003372959,0.0003348996,0.0006992602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719362,"about_ca_system_score_gemma":0.0001751833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002348858,"about_ca_topic_score_gemma":0.0005136991,"domain_scores_codex":[0.999858,0.00003795289,0.000009273839,0.00002644942,0.00005438321,0.00001391539],"domain_scores_gemma":[0.9997575,0.0001008675,0.00003295548,0.00003861387,0.00006302324,0.000006950506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003104518,0.00005570518,0.0006051314,0.0002318963,0.00003478934,0.0002025674,0.00009405975,0.1014986,0.1987719,0.1024652,0.003243351,0.5924863],"study_design_scores_gemma":[0.00005059336,0.0004028935,0.0008595578,0.00009125871,0.00006860005,0.0009757837,0.00009060631,0.592936,0.2936932,0.0285232,0.08226879,0.00003940733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02133111,0.0008341023,0.9668825,0.00009639959,0.00006455596,0.00002010362,0.00002555287,0.0002912846,0.0104543],"genre_scores_gemma":[0.5561373,0.002209035,0.4195258,0.0001425695,0.0001960226,0.0000567573,0.0001199059,0.00007401057,0.02153853],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003221521,"threshold_uncertainty_score":0.01077706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02927958106506444,"score_gpt":0.2845761961487752,"score_spread":0.2552966150837107,"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."}}