{"id":"W2584805892","doi":"10.1109/icassp.1985.1168328","title":"Complex digital signal processing using quadratic residue number systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Residue number system; Quadratic residue; Quadratic equation; Residue (chemistry); Digital signal processing; Binary number; Arithmetic; Computer science; Moduli; Digital filter; Multiplication (music); Signal processing; Algorithm; Mathematics; Computer hardware; Filter (signal processing); 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":[0.0006360608,0.0005022022,0.0004324563,0.0006868984,0.0002500854,0.001132647,0.0004508348,0.0005262779,0.004578636],"category_scores_gemma":[0.001856262,0.00016471,0.0002351078,0.0009175311,0.0006737226,0.001302024,0.0005282334,0.0007265498,0.001867338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003534841,"about_ca_system_score_gemma":0.0003407094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002185884,"about_ca_topic_score_gemma":0.0002850789,"domain_scores_codex":[0.9995664,0.0001244877,0.00003358905,0.00006551702,0.0001855929,0.00002433509],"domain_scores_gemma":[0.9994057,0.0002000658,0.00005870744,0.0001490738,0.000166735,0.00001958811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004281889,0.00008024029,0.000505875,0.0005038756,0.00005413348,0.0004323818,0.0002277137,0.03497436,0.116642,0.3719597,0.004479857,0.4697117],"study_design_scores_gemma":[0.0002097783,0.001212205,0.001322225,0.0002225966,0.00008399991,0.0022872,0.000104343,0.525804,0.1319074,0.1732605,0.1634271,0.0001586136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0313907,0.002716618,0.9472497,0.0003813969,0.0003933863,0.00008873196,0.00006327088,0.0007255202,0.01699071],"genre_scores_gemma":[0.4495254,0.003598599,0.5330592,0.0002625309,0.0006029746,0.00009819897,0.0002186673,0.00008530893,0.01254907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004578636,"threshold_uncertainty_score":0.01531708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163664726186823,"score_gpt":0.2703395292272513,"score_spread":0.2387028819653831,"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."}}