{"id":"W2111303572","doi":"10.1109/ccece.1998.682720","title":"Design of a high performance pipelined transversal filter for fading channels equalization","year":2002,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Adder; CMOS; Filter (signal processing); Application-specific integrated circuit; Electronic engineering; Fading; Booth's multiplication algorithm; Channel (broadcasting); Computer hardware; Telecommunications; Engineering","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":[0.00008276676,0.0000632159,0.00008785293,0.00005870868,0.00003034915,0.000006861895,0.0001098283,0.00003240734,0.000206064],"category_scores_gemma":[0.000008366365,0.00006050247,0.00002281413,0.00009915621,0.000008251816,0.000113823,0.000006130098,0.00002941035,0.000008720081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001163001,"about_ca_system_score_gemma":0.000001887757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003039096,"about_ca_topic_score_gemma":5.834078e-7,"domain_scores_codex":[0.999634,0.000009414772,0.0001591265,0.00005214844,0.00004303936,0.0001023245],"domain_scores_gemma":[0.9996994,0.00006161164,0.00001544613,0.0001689326,0.00003535232,0.00001923976],"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":[0.00001607916,0.00004645793,0.00001415741,0.0001257246,0.00002976744,8.905047e-8,0.001364818,0.9643856,0.0200278,0.00112813,0.003614688,0.009246663],"study_design_scores_gemma":[0.0003332942,0.00003861031,0.00001629561,0.0000169079,0.000008425462,4.085674e-7,0.00001119547,0.9567544,0.04169263,0.00004494095,0.001007004,0.0000758908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03539343,0.0001409958,0.9631788,0.00005780642,0.0001034853,0.0001779435,0.000005151928,0.0001111798,0.0008312792],"genre_scores_gemma":[0.9794588,0.0002185222,0.01979891,0.00001626916,0.00002721692,0.00003297976,0.00001071675,0.00001552596,0.0004210713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9440654,"threshold_uncertainty_score":0.2467219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05529354805214965,"score_gpt":0.2343966085946438,"score_spread":0.1791030605424941,"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."}}