{"id":"W2152225132","doi":"10.1109/icassp.1990.115591","title":"Inverse of linear periodically time-varying filtering","year":2002,"lang":"en","type":"article","venue":"International Conference on Acoustics, Speech, and Signal Processing","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cyclostationary process; Inverse; SIGNAL (programming language); Inverse problem; Scheme (mathematics); Algorithm; Computer science; Inverse system; Property (philosophy); Process (computing); Mathematics; Mathematical analysis; Telecommunications","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":[0.00042474,0.0003421804,0.0003581417,0.0002611657,0.0003183542,0.0004745916,0.0004263259,0.0006471133,0.001955683],"category_scores_gemma":[0.001647644,0.0001765974,0.0003881725,0.0002542361,0.0005191987,0.0006469052,0.0004320067,0.000763648,0.0004847917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003142156,"about_ca_system_score_gemma":0.0004400289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008068798,"about_ca_topic_score_gemma":0.0008893268,"domain_scores_codex":[0.9996761,0.00006531335,0.00001368452,0.00005481786,0.0001655973,0.00002442183],"domain_scores_gemma":[0.9996146,0.0001422,0.00005257545,0.00008410351,0.00009015016,0.00001629334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003877284,0.00009127831,0.001096617,0.0002727581,0.00006590519,0.0003332066,0.0002890201,0.2322851,0.1643676,0.1739438,0.003789095,0.423078],"study_design_scores_gemma":[0.00001744797,0.0001297332,0.0003883009,0.00001793125,0.00001673501,0.0002549857,0.00001916067,0.9552513,0.02267402,0.01464448,0.006562403,0.00002356448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008166251,0.000123897,0.9892692,0.00006902273,0.00005909787,0.00001722778,0.00001453735,0.0001598739,0.002120883],"genre_scores_gemma":[0.3950425,0.000519176,0.5936869,0.000175917,0.0001181124,0.0000892902,0.0001214816,0.00006618963,0.01018049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001955683,"threshold_uncertainty_score":0.006542444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04024962785612379,"score_gpt":0.2663167866261703,"score_spread":0.2260671587700465,"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."}}