{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002894963,0.0007965572,0.0006957654,0.0009228415,0.0006330551,0.001078765,0.001205075,0.0007487055,0.01387441],"category_scores_gemma":[0.001427469,0.0003724184,0.0006913458,0.001052862,0.0005136222,0.0019484,0.0008008815,0.001122039,0.007159097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006352803,"about_ca_system_score_gemma":0.001032116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001614215,"about_ca_topic_score_gemma":0.003480213,"domain_scores_codex":[0.9995808,0.00003560367,0.0000426382,0.00008914337,0.0002170316,0.00003475547],"domain_scores_gemma":[0.9994922,0.0001128013,0.0000405821,0.0001056451,0.00021992,0.00002881756],"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":[0.0002387661,0.0000789288,0.0004229678,0.0002082366,0.00004224552,0.0002043247,0.0001693197,0.01187535,0.08367579,0.03564058,0.01136224,0.8560813],"study_design_scores_gemma":[0.0002469056,0.000498571,0.001197036,0.0001048148,0.00008337368,0.002476253,0.0001731792,0.6588765,0.1558659,0.02869562,0.1516453,0.0001366372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002326066,0.0001314832,0.9948359,0.00006207583,0.0001231566,0.00004036386,0.00005948258,0.001109796,0.001311715],"genre_scores_gemma":[0.014642,0.0001495806,0.9804612,0.00004378729,0.00006482577,0.00006895964,0.0002715725,0.0001610841,0.004136876],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01387441,"threshold_uncertainty_score":0.04641455,"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."}}