{"id":"W2108343881","doi":"10.1109/mwscas.2007.4488771","title":"FPGA design and implementation of Direct Matrix Inversion based on steepest descent method","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field-programmable gate array; Virtex; Computer science; Inversion (geology); Beamforming; Algorithm; Computer hardware; Embedded system; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001572009,0.0004514558,0.0002828325,0.0003727473,0.0002047664,0.0005427214,0.0008311828,0.000292589,0.004154358],"category_scores_gemma":[0.0003662615,0.0001971698,0.0002082533,0.0002344222,0.0001365351,0.0002459393,0.0001535981,0.0003480772,0.001207904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00030615,"about_ca_system_score_gemma":0.0006128025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379756,"about_ca_topic_score_gemma":0.002793306,"domain_scores_codex":[0.9998336,0.00002886875,0.00001011852,0.00002481459,0.00007514747,0.00002745358],"domain_scores_gemma":[0.9998615,0.00003061462,0.00001195103,0.00001892202,0.00006868997,0.00000843076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003224856,0.0001213895,0.001807495,0.0004256512,0.0001238452,0.0004982448,0.0001780486,0.1886148,0.1334997,0.0184457,0.01023544,0.6457272],"study_design_scores_gemma":[0.0001820501,0.0006128917,0.001442339,0.00005019803,0.00004916298,0.0006523477,0.00004709592,0.8710564,0.08992353,0.002073792,0.03386107,0.00004918108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02336038,0.0003984355,0.9618482,0.0001186481,0.0001022165,0.0001312008,0.0001004092,0.002969254,0.01097123],"genre_scores_gemma":[0.3775582,0.000323456,0.6149088,0.0001132309,0.00003778737,0.000209248,0.0002512225,0.0001223035,0.006475792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004154358,"threshold_uncertainty_score":0.01389772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0304088486645673,"score_gpt":0.3173906285972654,"score_spread":0.2869817799326981,"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."}}