{"id":"W1555715953","doi":"10.1109/tcsi.2004.834508","title":"A New Radix-&amp;lt;tex&amp;gt;$2/8$&amp;lt;/tex&amp;gt;FFT Algorithm for Length-&amp;lt;tex&amp;gt;$qtimes 2^m$&amp;lt;/tex&amp;gt;DFTs","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Fast Fourier transform; Twiddle factor; Split-radix FFT algorithm; Prime-factor FFT algorithm; Algorithm; Cooley–Tukey FFT algorithm; Rader's FFT algorithm; Radix (gastropod); Computation; Integer (computer science); Mathematics; Discrete Fourier transform (general); Arithmetic; Computer science; Fourier transform; Fourier analysis; Fractional Fourier transform","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002263758,0.001896579,0.001776941,0.001094999,0.003238993,0.002950927,0.001969362,0.000762789,0.0006760046],"category_scores_gemma":[0.00006069834,0.001924481,0.000923064,0.001977907,0.0007615428,0.00282984,0.0001060617,0.0009729184,0.001587474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007586141,"about_ca_system_score_gemma":0.0005176433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002651383,"about_ca_topic_score_gemma":0.001230313,"domain_scores_codex":[0.9894894,0.0007857658,0.002705716,0.003212927,0.001640137,0.002166087],"domain_scores_gemma":[0.9922706,0.001472292,0.001088211,0.003048359,0.0005139476,0.001606621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004207118,0.004033057,0.00005966295,0.001011739,0.002062415,0.00000941588,0.0114839,0.002407521,0.1046169,0.1555306,0.01793238,0.7004317],"study_design_scores_gemma":[0.006319162,0.0005753327,0.0001754647,0.0008645428,0.0008132817,0.000888614,0.0004772322,0.0004902739,0.001644503,0.02313654,0.9614115,0.003203524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01386756,0.003381577,0.9662302,0.0007331504,0.002182189,0.005724626,0.002824546,0.0009843585,0.004071811],"genre_scores_gemma":[0.8727878,0.001382947,0.05974276,0.001389761,0.001793573,0.005155796,0.002339576,0.000514304,0.05489351],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9434792,"threshold_uncertainty_score":0.9993778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04899216212762784,"score_gpt":0.2911471197812872,"score_spread":0.2421549576536593,"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."}}