{"id":"W1494881403","doi":"10.1109/iscas.1988.14983","title":"Digital bilinear LDI ladder filters using lattice equivalents and wave concepts","year":2003,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Lattice (music); Bilinear interpolation; Lossless compression; Transfer function; Bilinear transform; Integrator; Band-pass filter; Computer science; Electrical impedance; Digital filter; Mathematics; Topology (electrical circuits); Electronic engineering; Algorithm; Bandwidth (computing); Electrical engineering; Engineering; Telecommunications; Physics; Acoustics; Combinatorics","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":[0.0003951276,0.0003806195,0.0001993963,0.0003331704,0.0003154983,0.001531893,0.000582577,0.0005132423,0.005413889],"category_scores_gemma":[0.0008687128,0.0002104809,0.0002509941,0.0003980021,0.0005041771,0.001449485,0.0004398102,0.0005919848,0.0009206324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007959866,"about_ca_system_score_gemma":0.0003150982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004277177,"about_ca_topic_score_gemma":0.0007504945,"domain_scores_codex":[0.9997597,0.00004314404,0.00001599306,0.00002567012,0.0001296717,0.0000258311],"domain_scores_gemma":[0.9997129,0.00008700693,0.000047934,0.00005842333,0.00007278164,0.00002099616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004892432,0.0001747099,0.0005695616,0.0003251382,0.00003374407,0.0002363233,0.0004042433,0.02601045,0.3576689,0.3649029,0.002257102,0.2469278],"study_design_scores_gemma":[0.0001900375,0.0007297228,0.000458653,0.00009961044,0.00006174274,0.0008449109,0.0001544834,0.4004642,0.4682033,0.06823934,0.0604694,0.00008463895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03484004,0.0002277638,0.9490655,0.0001920772,0.00008827687,0.00006846346,0.00005564378,0.0009560597,0.01450613],"genre_scores_gemma":[0.4484877,0.0004494754,0.5332128,0.000178223,0.00004253352,0.0001166487,0.0001306197,0.0001173218,0.01726469],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005413889,"threshold_uncertainty_score":0.01811129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0769073500037619,"score_gpt":0.3155314550738448,"score_spread":0.2386241050700829,"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."}}