{"id":"W4401206271","doi":"10.3390/a17080338","title":"Design of Multichannel Spectrum Intelligence Systems Using Approximate Discrete Fourier Transform Algorithm for Antenna Array-Based Spectrum Perception Applications","year":2024,"lang":"en","type":"article","venue":"Algorithms","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Herzberg Institute of Astrophysics","funders":"","keywords":"Fast Fourier transform; Computer science; Algorithm; Wideband; Cognitive radio; Discrete Fourier transform (general); Fourier transform; Electronic engineering; Telecommunications; Wireless; Mathematics; Fractional Fourier transform; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002965862,0.0005619708,0.0004631094,0.0002695508,0.0003146902,0.0007279443,0.0008133053,0.0006037563,0.003351796],"category_scores_gemma":[0.0006691887,0.0002247371,0.0003822361,0.0002529441,0.0002629373,0.0004972394,0.0003196315,0.0005171369,0.001100307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004479384,"about_ca_system_score_gemma":0.0005973778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338825,"about_ca_topic_score_gemma":0.001904333,"domain_scores_codex":[0.9997287,0.00004489371,0.00001551155,0.00006751501,0.0001086773,0.00003466233],"domain_scores_gemma":[0.9997687,0.00005290502,0.00003813783,0.00002278631,0.0001032631,0.00001434306],"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":[0.0003391115,0.0002039344,0.001374522,0.0002465083,0.0001235932,0.0002326587,0.0002527298,0.4122762,0.1203154,0.02085402,0.004866458,0.4389148],"study_design_scores_gemma":[0.00002002093,0.0001671442,0.0001613174,0.000008886987,0.00001296839,0.00007774099,0.00001818536,0.9856104,0.009347077,0.001059221,0.003507026,0.00001008282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00767134,0.0001407148,0.9884974,0.00008408786,0.00004511363,0.0000409948,0.00001397774,0.0003017938,0.003204518],"genre_scores_gemma":[0.5249246,0.0002519541,0.4692536,0.0001824882,0.00005753095,0.0002351286,0.00008303931,0.00005811188,0.004953586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003351796,"threshold_uncertainty_score":0.01121289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03268762955792653,"score_gpt":0.2782196780578814,"score_spread":0.2455320484999549,"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."}}