{"id":"W2120960466","doi":"10.1109/isspit.2006.270806","title":"Area-Efficient FIR Filter Design on FPGAs using Distributed Arithmetic","year":2006,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Stratix; Lookup table; Field-programmable gate array; Finite impulse response; Computer science; Accumulator (cryptography); Multiplier (economics); Parallel computing; Adder; Filter (signal processing); Computer hardware; Arithmetic; Embedded system; Algorithm; Mathematics; Latency (audio)","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":[0.0001536509,0.0001449491,0.0001064307,0.0001059582,0.00009723444,0.0004204865,0.0003532806,0.00002874741,0.00006546421],"category_scores_gemma":[0.00001335868,0.0001207512,0.000053011,0.0003594722,0.00002146623,0.0003081387,0.00008554525,0.00004982996,0.00009870595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000892946,"about_ca_system_score_gemma":0.00003683918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006421912,"about_ca_topic_score_gemma":0.000002300368,"domain_scores_codex":[0.998789,0.00005091433,0.0002367148,0.0003271023,0.0002922287,0.000304116],"domain_scores_gemma":[0.9993969,0.0000945155,0.00005960222,0.0003348188,0.00005331718,0.00006083394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007898136,0.002023867,0.0006706081,0.00003670832,0.00007067138,0.0001734802,0.0004521429,0.522141,0.03652734,0.2572432,0.108333,0.07224903],"study_design_scores_gemma":[0.0004161122,0.0001820663,0.002037252,0.00001903069,0.000005999388,0.00001748097,0.000008149806,0.9563226,0.03357482,0.005036542,0.002127972,0.0002519391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01955966,0.00000695513,0.9755703,0.0002380442,0.0001594687,0.0002228458,0.0000131951,0.0001660839,0.004063503],"genre_scores_gemma":[0.9089698,2.35813e-7,0.09007218,0.000396629,0.00003600735,0.000009229556,0.00003397369,0.000008052179,0.0004738793],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8894101,"threshold_uncertainty_score":0.492409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07291664940181444,"score_gpt":0.2681352013203891,"score_spread":0.1952185519185747,"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."}}