{"id":"W2349246022","doi":"","title":"Research and Design About Bandwidth Variable with Time of Digital Filter Handling on FPGA","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chebyshev filter; Computer science; VHDL; Field-programmable gate array; Finite impulse response; Digital filter; Ripple; Bandwidth (computing); Multiplier (economics); Computer hardware; Algorithm; Arithmetic; Mathematics; Telecommunications; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003251263,0.0003715969,0.0002619874,0.0006964387,0.0002831811,0.0006830299,0.0005946737,0.0003132833,0.003458181],"category_scores_gemma":[0.000664015,0.0001995833,0.0003393612,0.0004264688,0.0001863805,0.000730604,0.0001274791,0.000349946,0.0006066181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005063289,"about_ca_system_score_gemma":0.0003807518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001366277,"about_ca_topic_score_gemma":0.000949916,"domain_scores_codex":[0.9997044,0.00003735664,0.00002375054,0.00006865528,0.000125087,0.00004064247],"domain_scores_gemma":[0.9997539,0.00006761892,0.0000204875,0.00003498692,0.0001103393,0.00001263693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004319035,0.00005034728,0.002039233,0.00066809,0.00009318965,0.0003599553,0.0005036223,0.03235609,0.183303,0.06376676,0.00460779,0.7118201],"study_design_scores_gemma":[0.0003047395,0.001306485,0.004179888,0.0003218885,0.0003712256,0.002780351,0.0002902844,0.3914985,0.3465934,0.01631852,0.235916,0.0001187137],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03341165,0.002806269,0.9450992,0.0002370811,0.0002133485,0.0000724245,0.00006018781,0.001366813,0.01673303],"genre_scores_gemma":[0.4669053,0.003466436,0.5100629,0.0002062797,0.0002529107,0.000158138,0.0002417842,0.0002095498,0.01849682],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003458181,"threshold_uncertainty_score":0.01156873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04327569729384565,"score_gpt":0.3026835248367843,"score_spread":0.2594078275429387,"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."}}