{"id":"W2135575309","doi":"10.1109/twc.2010.061510.091080","title":"On the Cyclostationarity of OFDM and Single Carrier Linearly Digitally Modulated Signals in Time Dispersive Channels: Theoretical Developments and Application","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Memorial University of Newfoundland; University of British Columbia","funders":"","keywords":"Orthogonal frequency-division multiplexing; Aliasing; Computer science; Cyclostationary process; SIGNAL (programming language); Channel (broadcasting); Noise (video); Electronic engineering; Algorithm; Gaussian noise; Telecommunications; Engineering; Artificial intelligence","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":[0.0003801037,0.0001733129,0.0001874455,0.0002266296,0.0003577101,0.0001424098,0.0009331814,0.0001307888,0.0000130741],"category_scores_gemma":[0.000046569,0.0001514668,0.00003989236,0.0005612079,0.0006227397,0.000386245,0.00002851643,0.000445601,0.00001133893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005317279,"about_ca_system_score_gemma":0.00006929415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003673588,"about_ca_topic_score_gemma":0.00007247769,"domain_scores_codex":[0.9985275,0.0002108905,0.0004203089,0.0003511509,0.0003225937,0.0001675781],"domain_scores_gemma":[0.9969475,0.0013857,0.0001741427,0.001176004,0.0002267971,0.00008982431],"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":[0.00008988428,0.002067872,0.0006090779,0.00003031672,0.0001064445,8.890667e-7,0.005680656,0.01614172,0.2748759,0.6289799,0.00001935899,0.07139796],"study_design_scores_gemma":[0.0005870344,0.0001281837,0.01095968,0.00008686737,0.00001893305,0.000007744415,0.0001068392,0.9274126,0.03794717,0.02237294,0.00005293851,0.000319032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5330548,0.000009416599,0.4629469,0.003223148,0.00004567333,0.0004436403,0.0000355804,0.00004976561,0.0001910655],"genre_scores_gemma":[0.9961306,0.00003344552,0.00345876,0.0001280025,0.000006076913,0.0001785098,0.00001854547,0.0000160392,0.000029956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9112709,"threshold_uncertainty_score":0.6176639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712016170672947,"score_gpt":0.2430767832689534,"score_spread":0.225956621562224,"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."}}