{"id":"W1737609907","doi":"10.1016/j.acha.2015.07.003","title":"Directional tensor product complex tight framelets with low redundancy","year":2015,"lang":"en","type":"article","venue":"Applied and Computational Harmonic Analysis","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Redundancy (engineering); Tensor product; Dimension (graph theory); Product (mathematics); Wavelet; Filter bank; Noise reduction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008616142,0.001170074,0.0006618394,0.0008057549,0.0003260566,0.001277673,0.000700105,0.001136651,0.004290676],"category_scores_gemma":[0.003705105,0.0005041939,0.0003870366,0.001391604,0.001030319,0.001955501,0.001411972,0.001494467,0.001806595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002697822,"about_ca_system_score_gemma":0.0005473447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005142598,"about_ca_topic_score_gemma":0.0009667815,"domain_scores_codex":[0.999392,0.0001677369,0.00002770388,0.00008830425,0.0002858186,0.00003833763],"domain_scores_gemma":[0.9986824,0.0003866366,0.0001675214,0.0004188409,0.0002694213,0.00007514905],"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":[0.0004498981,0.0001166519,0.0008204628,0.0003166583,0.00008226985,0.0002985143,0.0002519295,0.1236941,0.08629124,0.4035776,0.01615152,0.367949],"study_design_scores_gemma":[0.00002014776,0.0001258977,0.0005588873,0.00003268938,0.00003031502,0.0003828344,0.0000658702,0.8867543,0.02471552,0.07278685,0.01447877,0.00004785998],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005725326,0.0001260306,0.9917671,0.0001585161,0.00009692852,0.00001496482,0.00009319516,0.0001029198,0.001915011],"genre_scores_gemma":[0.1785411,0.001259855,0.8067904,0.0004045428,0.000398792,0.00009959917,0.0006487087,0.0002467015,0.01161034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004290676,"threshold_uncertainty_score":0.01435369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719145612645094,"score_gpt":0.2201722880146434,"score_spread":0.2029808318881924,"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."}}