{"id":"W1578859279","doi":"10.1090/proc/12590","title":"The continuous wavelet transform and window functions","year":2015,"lang":"lv","type":"article","venue":"Proceedings of the American Mathematical Society","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Continuous wavelet transform; Window (computing); Wavelet transform; Wavelet; Harmonic wavelet transform; Computer science; Mathematics; Discrete wavelet transform; Artificial intelligence; World Wide Web","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":[0.001615901,0.001088903,0.0005992234,0.001898334,0.0004087162,0.003296589,0.001149334,0.001259855,0.008986936],"category_scores_gemma":[0.005347951,0.000492351,0.0010093,0.00311862,0.001382348,0.003684427,0.001475783,0.002454793,0.006731184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005594346,"about_ca_system_score_gemma":0.0007058867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001552204,"about_ca_topic_score_gemma":0.0007723847,"domain_scores_codex":[0.9991703,0.000155471,0.00007824496,0.000215789,0.0002992322,0.00008097872],"domain_scores_gemma":[0.9990394,0.0003469758,0.00009915019,0.000200663,0.0002439663,0.00006975162],"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":[0.0001586525,0.00004457221,0.0004590228,0.0003216869,0.00004193694,0.0004349871,0.000352991,0.01149548,0.02257877,0.7021362,0.02030999,0.2416657],"study_design_scores_gemma":[0.00005435451,0.0001684622,0.001762401,0.0001751457,0.00007554296,0.001159662,0.0002979568,0.2433448,0.0309172,0.4452652,0.2766553,0.0001239685],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002822423,0.0008359848,0.9876069,0.0002792813,0.0004223132,0.00003289005,0.0003196854,0.0005004812,0.007180071],"genre_scores_gemma":[0.0647694,0.004395406,0.9031562,0.0003954837,0.0007970572,0.000230665,0.001283342,0.001364962,0.02360743],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008986936,"threshold_uncertainty_score":0.03006434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242798402222372,"score_gpt":0.2657901835230062,"score_spread":0.2433621995007825,"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."}}