{"id":"W2083112975","doi":"10.1364/ao.39.000231","title":"Wiener-like correlation filters","year":2000,"lang":"en","type":"article","venue":"Applied Optics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Sudbury","funders":"","keywords":"Wiener filter; Wiener deconvolution; Correlation; Optics; Filter (signal processing); Noise (video); Physics; Mathematics; Computer science; Algorithm; Artificial intelligence; Deconvolution; Blind deconvolution","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":[0.000940575,0.0006811805,0.0005128674,0.000618063,0.0004254449,0.0008392932,0.0009836311,0.001242004,0.002254759],"category_scores_gemma":[0.002011237,0.0004295942,0.0006359466,0.0006408414,0.0006532646,0.001333846,0.000652987,0.000797908,0.001363203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005636563,"about_ca_system_score_gemma":0.0007099715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005195792,"about_ca_topic_score_gemma":0.001266943,"domain_scores_codex":[0.9991375,0.0001147971,0.00003954106,0.0001775011,0.0004510766,0.00007961002],"domain_scores_gemma":[0.9988249,0.0003315142,0.0001927806,0.000144874,0.0004341965,0.00007165561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003654525,0.000206069,0.00178605,0.0003500867,0.0001963091,0.0004618878,0.0001650958,0.03656689,0.5526291,0.1140654,0.004988494,0.2882193],"study_design_scores_gemma":[0.0000895864,0.0008687236,0.002005965,0.00007087814,0.0001915739,0.00193984,0.00003847016,0.4516155,0.4708728,0.01993849,0.05217043,0.000197761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01324466,0.0003050674,0.98237,0.00009325217,0.00008969162,0.00003736793,0.00003338834,0.0006112237,0.003215349],"genre_scores_gemma":[0.1991225,0.000566365,0.7899944,0.0004012534,0.0001729256,0.0001107078,0.0001394324,0.0001129417,0.009379285],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002254759,"threshold_uncertainty_score":0.007542908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005514409721956551,"score_gpt":0.1892525672340635,"score_spread":0.183738157512107,"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."}}