{"id":"W1537817240","doi":"10.1007/3-540-46117-5_24","title":"A Method for Implementing Bit-Serial Finite Impulse Response Digital Filters in FPGAs Using JBits™","year":2002,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Field-programmable gate array; Finite impulse response; Computer science; Digital filter; Filter (signal processing); Computer hardware; Impulse (physics); Infinite impulse response; Algorithm; Parallel computing; 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":[0.0001731698,0.000687362,0.0002701385,0.0004551117,0.0003869114,0.0006084812,0.0007050235,0.000336092,0.006025272],"category_scores_gemma":[0.0003853595,0.0003841511,0.0003904073,0.0004435223,0.0002505587,0.0005381482,0.0003089157,0.0004997987,0.001797808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002272051,"about_ca_system_score_gemma":0.0002831498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000556411,"about_ca_topic_score_gemma":0.001376883,"domain_scores_codex":[0.9998114,0.00002217866,0.00001741538,0.00002809858,0.0001045383,0.00001641433],"domain_scores_gemma":[0.999826,0.00004749827,0.00001903027,0.00004391188,0.00005405633,0.00000938991],"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":[0.0002755738,0.00009313117,0.0004545699,0.0004213639,0.00008153437,0.0003099769,0.000181395,0.01131486,0.168727,0.03661855,0.00609175,0.7754303],"study_design_scores_gemma":[0.0003402437,0.001122253,0.001522197,0.0002686874,0.0002810497,0.004995389,0.0001498979,0.3091549,0.460437,0.02863283,0.192926,0.0001696735],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006626314,0.0001926992,0.9867933,0.00004523296,0.0001307635,0.00006589037,0.0000261273,0.00143097,0.004688631],"genre_scores_gemma":[0.07157892,0.0002853098,0.9133542,0.00008144468,0.000042345,0.0001238574,0.0001052693,0.0001214747,0.01430708],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006025272,"threshold_uncertainty_score":0.02015656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05551890811338977,"score_gpt":0.318965459033874,"score_spread":0.2634465509204842,"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."}}