{"id":"W2058687912","doi":"10.1109/lsp.2012.2194142","title":"Time-Frequency Analysis via Ramanujan Sums","year":2012,"lang":"en","type":"article","venue":"IEEE Signal Processing Letters","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Time–frequency analysis; Kernel (algebra); Signal processing; Algorithm; Ramanujan's sum; Mathematics; Computer science; Discrete mathematics; Digital signal processing; Pure mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007202173,0.000713475,0.0004991336,0.001686683,0.0003817882,0.001062437,0.000744968,0.0005126401,0.00291073],"category_scores_gemma":[0.001787744,0.0002606256,0.000624425,0.0009610723,0.0009859862,0.001286959,0.0007216044,0.0009621099,0.001030023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003592215,"about_ca_system_score_gemma":0.0003883879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005902703,"about_ca_topic_score_gemma":0.0005141561,"domain_scores_codex":[0.9996367,0.0001139592,0.00001685793,0.00004605567,0.0001601889,0.00002640291],"domain_scores_gemma":[0.9996542,0.0001733417,0.00003515178,0.00004517859,0.00007280881,0.00001932611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005899315,0.00004509207,0.0002902546,0.0001583532,0.00004315895,0.0001566111,0.0002045999,0.1188481,0.02299316,0.761943,0.001247267,0.09401153],"study_design_scores_gemma":[0.000006820173,0.00003579862,0.0002302668,0.00002205256,0.000009925081,0.0001666544,0.00003168021,0.7431903,0.004398182,0.2466703,0.005199104,0.0000389909],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02434311,0.0006303746,0.9649343,0.0001332463,0.0000807728,0.00003159789,0.00005289581,0.0001625968,0.009631069],"genre_scores_gemma":[0.599825,0.002349292,0.3826756,0.0001741256,0.0002763218,0.0001831497,0.0002028756,0.0002554531,0.01405829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00291073,"threshold_uncertainty_score":0.009737372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007960043356324654,"score_gpt":0.2325196263715792,"score_spread":0.2245595830152546,"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."}}