{"id":"W2112075308","doi":"10.1109/glocom.2008.ecp.637","title":"ISI-Free Cochannel Interference Whitening for Bandlimited Fading Channels","year":2008,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Intersymbol interference; Interference (communication); Raised-cosine filter; Nyquist ISI criterion; Signal-to-interference-plus-noise ratio; Bandlimiting; Transmitter; Matched filter; Filter (signal processing); Computer science; Equalization (audio); Adjacent-channel interference; Noise (video); Root-raised-cosine filter; Electronic engineering; Signal-to-noise ratio (imaging); Fading; Telecommunications; Control theory (sociology); Bandwidth (computing); Mathematics; Low-pass filter; Engineering; Physics; Power (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001022298,0.0007312835,0.0005469947,0.0003902717,0.0003319134,0.0005958456,0.0004567855,0.0007022942,0.001202494],"category_scores_gemma":[0.003038959,0.000256097,0.0003571328,0.0005840142,0.0007633334,0.0007479147,0.0004416704,0.0004411127,0.0003291188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004627886,"about_ca_system_score_gemma":0.0006284791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035563,"about_ca_topic_score_gemma":0.001225182,"domain_scores_codex":[0.9995095,0.0001750667,0.00001415774,0.00005133275,0.0002024642,0.0000474835],"domain_scores_gemma":[0.9988989,0.0007669976,0.000101035,0.00005372111,0.0001590495,0.00002033159],"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":[0.0001575579,0.00004461841,0.0005622021,0.0002318262,0.00006270424,0.0002882511,0.0001762903,0.8716839,0.02361267,0.03165539,0.0005973133,0.07092728],"study_design_scores_gemma":[0.0000116099,0.00006607899,0.0001453344,0.000009457477,0.00002213202,0.0000924986,0.00001882721,0.9869668,0.005974523,0.006043606,0.0006380828,0.00001099888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01615432,0.0003148794,0.9811966,0.00003836679,0.00001803164,0.00001807324,0.000006950983,0.00009353021,0.002159324],"genre_scores_gemma":[0.8096278,0.001428725,0.1839955,0.00007206817,0.0001064598,0.00008610062,0.00004462115,0.00004774176,0.004590984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001202494,"threshold_uncertainty_score":0.005406499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08960173979065875,"score_gpt":0.2991642638214406,"score_spread":0.2095625240307819,"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."}}