{"id":"W1485899467","doi":"10.1007/978-3-540-30117-2_107","title":"FPGA Implementation of Adaptive Multiuser Detector for DS-CDMA Systems","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Field-programmable gate array; Virtex; Modular design; Multiuser detection; Wireless; Code division multiple access; Detector; Embedded system; Computer hardware; Design flow; Real-time computing; Computer architecture; Computer network; Telecommunications","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":[0.000102707,0.0003446031,0.0002080572,0.0003835665,0.0001869738,0.0006054031,0.0005356199,0.0003133543,0.008428338],"category_scores_gemma":[0.0002632637,0.0001708769,0.000133111,0.0002316396,0.00007109353,0.0002974597,0.0001247676,0.0002769463,0.001381582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003128305,"about_ca_system_score_gemma":0.0003107169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001329224,"about_ca_topic_score_gemma":0.002402406,"domain_scores_codex":[0.9998871,0.00002151402,0.000007358511,0.00001994057,0.00003959805,0.00002446153],"domain_scores_gemma":[0.9998932,0.00003349637,0.000007622103,0.00001761667,0.00004030105,0.000007808871],"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":[0.001290825,0.0002045259,0.002766709,0.0006267285,0.0001966565,0.0007748483,0.0001979252,0.03999068,0.2738168,0.01848586,0.01956631,0.6420822],"study_design_scores_gemma":[0.000378576,0.001829814,0.005550463,0.0001940028,0.0002181946,0.00249399,0.0001284154,0.4403793,0.4509853,0.004673098,0.09307507,0.00009375579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2458724,0.004836437,0.6783637,0.0004755934,0.001016569,0.0001968444,0.0005919933,0.01267489,0.05597157],"genre_scores_gemma":[0.7929884,0.0008655919,0.1838181,0.0002648581,0.00007219909,0.00006249193,0.0003708219,0.0001253279,0.02143208],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008428338,"threshold_uncertainty_score":0.02819562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04218096839969814,"score_gpt":0.3192200766319305,"score_spread":0.2770391082322324,"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."}}