{"id":"W1619291680","doi":"10.1109/mwscas.1992.271210","title":"A modified design technique for linear phase 2D FIR filter using singular value decomposition","year":2003,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Finite impulse response; Singular value decomposition; Linear phase; Decomposition; Infinite impulse response; Digital filter; Linear filter; Mathematics; Filter (signal processing); Value (mathematics); Computer science; Algorithm; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004025146,0.0001419402,0.0001282692,0.0001177708,0.000132089,0.0002395947,0.0002511786,0.00005011455,0.000020701],"category_scores_gemma":[0.00003426868,0.0001347402,0.00007532235,0.0002199111,0.00001520957,0.0009355706,0.00003308017,0.00004162826,0.000007423259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006263593,"about_ca_system_score_gemma":0.00007006455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008658279,"about_ca_topic_score_gemma":2.284712e-7,"domain_scores_codex":[0.9988955,0.0000996015,0.0002660994,0.0003201527,0.0001525296,0.00026616],"domain_scores_gemma":[0.9993788,0.00009790014,0.00007349934,0.0002848489,0.00008950445,0.00007543505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005439787,0.0004177205,0.00000333322,0.00002862104,0.00003240734,0.000009728275,0.0002412304,0.004992623,0.8137332,0.1637924,0.001794094,0.01490027],"study_design_scores_gemma":[0.0007832642,0.0002755615,8.589341e-7,0.00001497647,0.000007477894,0.00002341892,0.00000485297,0.4520526,0.5277732,0.01817745,0.0007335909,0.0001527914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002087842,0.000009015801,0.9953438,0.00005723789,0.0001162728,0.00101604,0.000005842253,0.0001384323,0.001225507],"genre_scores_gemma":[0.226502,6.115416e-7,0.7728271,0.0004233779,0.00002132526,0.0000769514,0.00001548598,0.00001187393,0.0001212176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4470599,"threshold_uncertainty_score":0.5494545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064114707712687,"score_gpt":0.3696393039282612,"score_spread":0.2632278331569925,"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."}}