{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005377795,0.0001203256,0.0001297051,0.0002382249,0.000157698,0.0004471831,0.0004611638,0.00003755022,0.000008111695],"category_scores_gemma":[9.673913e-7,0.0001034055,0.00001850016,0.0006266802,0.00009112812,0.0005679319,0.0001683346,0.000108059,0.00007266025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003084464,"about_ca_system_score_gemma":0.00005110875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000541513,"about_ca_topic_score_gemma":5.465009e-7,"domain_scores_codex":[0.9987579,0.00002427194,0.0002519329,0.0003905287,0.0002591664,0.0003161939],"domain_scores_gemma":[0.9989054,0.0003727335,0.00006854496,0.0003551053,0.0001996822,0.00009857159],"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":[0.0001400273,0.0009002194,0.0006782649,0.0000884109,0.0001099461,0.000008631352,0.001738895,0.0003884516,0.04662498,0.08678711,0.01017443,0.8523606],"study_design_scores_gemma":[0.00527036,0.004964625,0.01150514,0.0004999334,0.00004166677,0.0002621982,0.0001775028,0.02862303,0.5139039,0.07345575,0.3594887,0.001807203],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002495161,0.00002742913,0.9926612,0.00009851612,0.00000593954,0.0006481807,0.00001237676,0.00006501891,0.003986112],"genre_scores_gemma":[0.1927845,0.000003358372,0.8057179,0.000205068,0.00007958023,0.0001106051,0.00003562063,0.00001976487,0.001043558],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8505535,"threshold_uncertainty_score":0.4312198,"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."}}