{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004469643,0.0001543073,0.0002017313,0.0002227679,0.0004529407,0.0001772285,0.003957895,0.00007850752,0.00003118796],"category_scores_gemma":[0.0002622044,0.0001417235,0.00008384538,0.000675399,0.00009078518,0.0006295454,0.001599256,0.0002307147,0.00004193516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005419602,"about_ca_system_score_gemma":0.00007562133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002508846,"about_ca_topic_score_gemma":0.00001322111,"domain_scores_codex":[0.9983819,0.00009499296,0.0002854979,0.0004129437,0.0003115683,0.0005131217],"domain_scores_gemma":[0.9971703,0.0006094744,0.0000785032,0.001652323,0.0003385012,0.0001508664],"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":[0.0002519125,0.0007788129,0.003274906,0.0002091318,0.0003259981,0.00008610843,0.03117761,0.05086867,0.01150621,0.4277526,0.3053481,0.1684199],"study_design_scores_gemma":[0.0006682686,0.0001132505,0.0002511235,0.0000549451,0.000001526758,0.00003727912,0.00005985855,0.9897158,0.003594643,0.002948293,0.002316635,0.000238345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01042031,0.0001704136,0.9806514,0.003254611,0.000275684,0.000337535,0.000001938766,0.0003425634,0.004545493],"genre_scores_gemma":[0.9107944,0.000105709,0.08599185,0.0003367951,0.0001033686,0.0001213871,0.000005823961,0.00001547551,0.002525165],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9388472,"threshold_uncertainty_score":0.7354819,"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."}}