{"id":"W1557302094","doi":"10.1109/iscas.2006.1693329","title":"Application of frequency-response masking technique to the design of a novel modified-DFT filter bank","year":2006,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Filter bank; Filter design; Root-raised-cosine filter; Filter (signal processing); Prototype filter; Computer science; Masking (illustration); Electronic engineering; Low-pass filter; High-pass filter; Digital filter; Control theory (sociology); Engineering; Computer vision; Artificial intelligence","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":[0.0006311391,0.00008670159,0.00009847357,0.0001194447,0.00003207945,0.00005319366,0.0006133609,0.00002798401,0.000006869714],"category_scores_gemma":[0.0000244099,0.00006232639,0.00003805351,0.000416976,0.0000227543,0.0004259922,0.0000952967,0.00003227986,0.000007259411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002428989,"about_ca_system_score_gemma":0.00004478877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002304622,"about_ca_topic_score_gemma":0.00000767215,"domain_scores_codex":[0.9990665,0.00006721547,0.0003164088,0.0001965094,0.0002169995,0.000136337],"domain_scores_gemma":[0.9991266,0.0001780653,0.0001163323,0.0004587476,0.00009660804,0.00002370103],"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":[0.0000372852,0.00009187133,0.0000531592,0.000008218093,0.000004926131,2.794829e-7,0.0001862715,0.003757713,0.8187527,0.1676824,0.000988399,0.00843678],"study_design_scores_gemma":[0.0003503418,0.0002835329,0.003631495,0.00002652541,0.000005948208,0.000009912757,0.00002304903,0.1483353,0.828254,0.01826002,0.0006320685,0.0001877404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001376212,0.000004672995,0.9950729,0.0005597384,0.00002444062,0.0007942843,0.000008388208,0.00005186123,0.002107495],"genre_scores_gemma":[0.6844562,1.718831e-7,0.3151112,0.0001607088,0.00000955126,0.000117438,0.000002172727,0.000004193063,0.0001382674],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.68308,"threshold_uncertainty_score":0.2541596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03874708850791142,"score_gpt":0.2730725204024345,"score_spread":0.234325431894523,"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."}}