{"id":"W2067358804","doi":"10.1109/tetc.2014.2367415","title":"A Cross-Layer Secure Communication Model Based on Discrete Fractional Fourier Fransform (DFRFT)","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computing","topic":"Mathematical Analysis and Transform Methods","field":"Mathematics","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Fractional Fourier transform; Computer science; Communication source; Discrete Fourier transform (general); Generalization; SIGNAL (programming language); Fourier transform; Channel (broadcasting); Theoretical computer science; Algorithm; Computer network; Mathematics; Fourier analysis; Mathematical analysis","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":[0.0008122912,0.0006962174,0.0005060536,0.000570239,0.0007147429,0.001264797,0.00105243,0.001328396,0.002185903],"category_scores_gemma":[0.001467966,0.0002626933,0.0006850401,0.0005265306,0.001508834,0.002777069,0.001492207,0.001608717,0.0006716144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008972727,"about_ca_system_score_gemma":0.0006093372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106724,"about_ca_topic_score_gemma":0.0005460024,"domain_scores_codex":[0.9990025,0.00025185,0.00005066329,0.0002251714,0.0003379591,0.0001318857],"domain_scores_gemma":[0.9993612,0.0001982617,0.0001199823,0.0001452284,0.0001425183,0.00003283547],"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":[0.0001936017,0.00005998325,0.0006222925,0.0001275861,0.00004538278,0.0007300622,0.0003423616,0.1864958,0.02411529,0.7575092,0.002054869,0.02770355],"study_design_scores_gemma":[0.00002323983,0.0001682143,0.0001440031,0.00002376902,0.00002562994,0.0003883743,0.0000430499,0.9140248,0.005545056,0.07502323,0.004554275,0.00003633271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01817562,0.0002199149,0.9748843,0.0003048287,0.00007104124,0.00004543024,0.00004731526,0.0001207451,0.006130834],"genre_scores_gemma":[0.8857449,0.0007113409,0.1029818,0.0002489355,0.00009683268,0.0001861454,0.00009128856,0.0000403042,0.009898433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002185903,"threshold_uncertainty_score":0.007312596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05596229041425209,"score_gpt":0.3827187010038526,"score_spread":0.3267564105896005,"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."}}