{"id":"W2168085983","doi":"10.1109/tsp.2005.849192","title":"On spectral theory of cyclostationary signals in multirate systems","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cyclostationary process; Linear system; LTI system theory; Mathematics; Invariant (physics); Computer science; Algorithm; Signal processing; Transformation matrix; Control theory (sociology); Digital signal processing; Telecommunications; 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":[0.0006045955,0.000152103,0.0001859898,0.0004289887,0.0001088672,0.0001016257,0.0003145993,0.00008106889,0.00002236861],"category_scores_gemma":[0.000003607606,0.0001462286,0.00006276064,0.0005039326,0.00005134599,0.0007717875,0.000001399346,0.0002831903,0.00002261706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008350975,"about_ca_system_score_gemma":0.0001241564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000093309,"about_ca_topic_score_gemma":0.000007312854,"domain_scores_codex":[0.9985277,0.0002188681,0.0004127283,0.000303355,0.0003423862,0.0001949709],"domain_scores_gemma":[0.9992338,0.0002747958,0.0001533246,0.0001916015,0.00009489255,0.00005152135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000958743,0.0004864592,0.000004965224,0.00005086269,0.00001256072,0.000006225164,0.002678842,0.7693812,0.01294149,0.01186876,0.0000233966,0.2024494],"study_design_scores_gemma":[0.000572477,0.0003001668,0.0001015532,0.0003626857,0.000008126363,0.000009886422,0.0001872214,0.6681244,0.3203342,0.009629184,0.00007507074,0.0002949541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03703684,0.0001037254,0.9608482,0.0002473514,0.0000529531,0.0002292999,0.000005020511,0.0002009276,0.001275749],"genre_scores_gemma":[0.9854747,0.000007660411,0.01398175,0.000313218,0.00002352822,0.00003978517,7.417901e-7,0.00001418901,0.0001444121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9484379,"threshold_uncertainty_score":0.5963028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374142777152333,"score_gpt":0.2782895685217209,"score_spread":0.2545481407501976,"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."}}