{"id":"W1515446305","doi":"10.1109/iscas.1989.100637","title":"Multidimensional discrete filtering using combined discrete Fourier transform and linear difference equation filter methods","year":2003,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Discrete Fourier transform (general); Filter (signal processing); Algorithm; Signal processing; Computer science; Fourier transform; Mathematics; Digital filter; Z-transform; Multidimensional signal processing; Fractional Fourier transform; Mathematical analysis; Fourier analysis; Digital signal processing; Computer vision","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":[0.0007493354,0.0006010354,0.000590825,0.001101836,0.0003056011,0.001306726,0.000762052,0.0009959523,0.006212443],"category_scores_gemma":[0.002098918,0.000359388,0.0008027221,0.001190874,0.0003442692,0.001431937,0.0007374876,0.0009067691,0.002612006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004464288,"about_ca_system_score_gemma":0.0004244571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001682207,"about_ca_topic_score_gemma":0.002404381,"domain_scores_codex":[0.9995559,0.00007942188,0.00004108189,0.00007385587,0.0002278723,0.00002190186],"domain_scores_gemma":[0.9993357,0.0003122639,0.00005012291,0.0001050963,0.0001797187,0.00001693926],"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":[0.0001144413,0.00008674268,0.0007040944,0.0003020012,0.00009460509,0.0001608161,0.0001841131,0.07127952,0.05340739,0.03713862,0.004443258,0.8320844],"study_design_scores_gemma":[0.00003360525,0.00006506216,0.0005759493,0.00003634412,0.00003065846,0.0002253721,0.00003086157,0.939464,0.02708175,0.01014082,0.0222752,0.00004041185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001000253,0.0001148463,0.9975796,0.00006407192,0.00003366736,0.00001517376,0.00002828807,0.0003345639,0.0008295094],"genre_scores_gemma":[0.02764081,0.0002721076,0.968551,0.00005619925,0.00004784662,0.00006190378,0.0001352914,0.000100772,0.003134022],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006212443,"threshold_uncertainty_score":0.02078271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04749036602245788,"score_gpt":0.2961543693121613,"score_spread":0.2486640032897034,"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."}}