{"id":"W2016518969","doi":"10.1063/1.2990992","title":"Symmetric Discrete Orthonormal Stockwell Transform","year":2008,"lang":"lt","type":"article","venue":"AIP conference proceedings","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Orthonormal basis; Discrete sine transform; Discrete Fourier transform (general); Discrete Hartley transform; Fractional Fourier transform; Algorithm; Computer science; Computation; Mathematics; S transform; Property (philosophy); Hartley transform; Fourier transform; Wavelet transform; Discrete wavelet transform; Mathematical analysis; Artificial intelligence; Fourier analysis; Physics; Wavelet","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":[0.0005711493,0.0004776457,0.0004145172,0.0006812321,0.0002584402,0.0009615137,0.0006355264,0.0006561764,0.005819436],"category_scores_gemma":[0.001841934,0.0001998345,0.0004492197,0.0006650033,0.0006546651,0.001416942,0.0005991231,0.000830274,0.001704245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003203774,"about_ca_system_score_gemma":0.0005412808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009113628,"about_ca_topic_score_gemma":0.000826332,"domain_scores_codex":[0.9996495,0.00006624276,0.00001957061,0.00005380447,0.0001691587,0.00004164],"domain_scores_gemma":[0.9994424,0.0001250981,0.00007061894,0.0001246141,0.0001914141,0.00004579359],"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":[0.000332344,0.00009271791,0.001420807,0.0001791056,0.00005097072,0.0005193956,0.0001649241,0.07286689,0.1050846,0.5452957,0.01090439,0.2630883],"study_design_scores_gemma":[0.00002961787,0.0001058257,0.001455679,0.00002066409,0.00002254636,0.000626122,0.00009757016,0.8544737,0.03806529,0.08359581,0.02145172,0.00005553053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02640935,0.0003053996,0.9629726,0.000213546,0.0001224411,0.00003675725,0.0002191221,0.0002259153,0.009494716],"genre_scores_gemma":[0.4844565,0.001288261,0.4915475,0.0003925337,0.0002754373,0.00009907623,0.001027403,0.0002761091,0.0206373],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005819436,"threshold_uncertainty_score":0.01946795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0398090779226149,"score_gpt":0.2711662636501166,"score_spread":0.2313571857275017,"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."}}