{"id":"W2151353857","doi":"10.1109/icecs.2007.4511115","title":"Design and Implementation of a Decimation Filter For High Performance Audio Applications","year":2007,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advantage Forensics (Canada)","funders":"","keywords":"Decimation; ModelSim; Finite impulse response; Computer science; Filter (signal processing); Field-programmable gate array; Digital signal processing; Computer hardware; Cascaded integrator–comb filter; Filter design; Low-pass filter; High-pass filter; Digital filter; Electronic engineering; Embedded system; Root-raised-cosine filter; Algorithm; Engineering; VHDL; 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":[0.0003343889,0.0005154529,0.0003032078,0.0004442281,0.0003303936,0.0005836931,0.0004881441,0.0007541056,0.003797716],"category_scores_gemma":[0.00076659,0.000236561,0.0002336744,0.0002850841,0.0001611383,0.000489035,0.0001836978,0.0004167169,0.001290697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003436101,"about_ca_system_score_gemma":0.0005616452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006612168,"about_ca_topic_score_gemma":0.001054801,"domain_scores_codex":[0.9997543,0.00002970809,0.00001946933,0.00004747552,0.0001161014,0.0000330222],"domain_scores_gemma":[0.9996616,0.00009440354,0.0000322497,0.00004125787,0.0001484243,0.00002207412],"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":[0.0004916669,0.000113443,0.001422874,0.0004838022,0.00009171729,0.0006321459,0.0002084656,0.01963993,0.5906633,0.007366958,0.001849027,0.3770367],"study_design_scores_gemma":[0.0001958239,0.001427286,0.004229933,0.0001008036,0.000173449,0.002400727,0.00008733741,0.2202413,0.6910955,0.002225667,0.07775515,0.00006704513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04409259,0.0006243374,0.9479609,0.0001951462,0.0001552231,0.000123821,0.00007247052,0.001728891,0.005046647],"genre_scores_gemma":[0.3678111,0.0005826516,0.6216053,0.0001925975,0.0001008572,0.0001073687,0.0001828701,0.0001173441,0.009299897],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003797716,"threshold_uncertainty_score":0.01270461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03136805823095339,"score_gpt":0.3073180147996482,"score_spread":0.2759499565686948,"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."}}