{"id":"W2399945893","doi":"10.1109/icassp.2016.7472371","title":"Carrier frequency and bandwidth estimation of cyclostationary multiband signals","year":2016,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Israel Science Foundation","keywords":"Cyclostationary process; Bandwidth (computing); Nyquist rate; Robustness (evolution); Cognitive radio; Computer science; Symbol rate; Algorithm; Electronic engineering; Transmission (telecommunications); Nyquist–Shannon sampling theorem; Telecommunications; Bit error rate; Wireless; Engineering; Sampling (signal processing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006886809,0.00005736169,0.00008821658,0.00003682813,0.00002202911,0.000008519261,0.00002340681,0.00003013667,0.00007343219],"category_scores_gemma":[0.00001636779,0.00003643161,0.00001203437,0.00003839787,0.00002154569,0.0001899551,0.000003559523,0.00001604392,0.000002926113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001058941,"about_ca_system_score_gemma":0.000007855904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002128168,"about_ca_topic_score_gemma":0.000003989634,"domain_scores_codex":[0.9996312,0.000007525577,0.0001514158,0.00006372331,0.00007874212,0.0000674308],"domain_scores_gemma":[0.9998119,0.00006104513,0.00002053935,0.00005033521,0.00002431256,0.0000318138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007080569,0.00001344035,0.01027357,0.0004882537,0.00006358627,0.00000548601,0.001182962,0.01303751,0.8230524,0.002309529,0.0009789658,0.1485872],"study_design_scores_gemma":[0.003035947,0.0001906614,0.04225476,0.001342867,0.000062002,0.00006085265,0.0004459528,0.4424469,0.4824685,0.02562092,0.001006241,0.001064426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7760981,0.0006839497,0.2176402,0.00005961592,0.00006934402,0.00008008954,0.00001571145,0.0000773161,0.005275668],"genre_scores_gemma":[0.9966662,0.00001455837,0.003134534,0.000004593076,0.00001782058,0.000002874652,0.000001254981,0.000009126461,0.0001490425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4294094,"threshold_uncertainty_score":0.1485638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006617735131235699,"score_gpt":0.2069271025532609,"score_spread":0.2003093674220252,"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."}}