{"id":"W2166141986","doi":"10.1109/arith.2011.17","title":"On the Fixed-Point Accuracy Analysis and Optimization of FFT Units with CORDIC Multipliers","year":2011,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"CORDIC; Fast Fourier transform; Twiddle factor; Split-radix FFT algorithm; Fixed-point arithmetic; Quantization (signal processing); Prime-factor FFT algorithm; Computer science; Algorithm; Floating point; LTI system theory; Arithmetic; Mathematics; Field-programmable gate array; Fourier transform; Linear system; Computer hardware; 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":[0.001045747,0.0009421813,0.0005868924,0.0005591124,0.0002806829,0.0006212128,0.0006792839,0.000444853,0.002044332],"category_scores_gemma":[0.005298391,0.0002849156,0.0004252911,0.0007506011,0.0006898071,0.001112954,0.0004598914,0.0009281539,0.0004578186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009012729,"about_ca_system_score_gemma":0.0007609802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001417008,"about_ca_topic_score_gemma":0.001455424,"domain_scores_codex":[0.9992804,0.0001441704,0.00003793484,0.00007772063,0.0004178672,0.00004194001],"domain_scores_gemma":[0.998641,0.0008543159,0.0001173363,0.0001223915,0.0002507649,0.00001420502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006710891,0.00001978936,0.000344028,0.0001790426,0.00002194518,0.00005628531,0.00007414422,0.8292633,0.01039929,0.07875478,0.0009038844,0.07991634],"study_design_scores_gemma":[0.000004002095,0.00003005098,0.00007419509,0.00001706254,0.000005909268,0.0000223481,0.000004083405,0.9857361,0.003825711,0.009298697,0.0009766062,0.000005211395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008523698,0.0008602712,0.9856681,0.0001253199,0.00003458686,0.00001977642,0.00002118661,0.0001891545,0.004557945],"genre_scores_gemma":[0.5497763,0.00208039,0.4423329,0.0001190542,0.0001454713,0.0001479944,0.0001167288,0.000419313,0.004861816],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002044332,"threshold_uncertainty_score":0.006838918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03535542563393678,"score_gpt":0.2526945315918875,"score_spread":0.2173391059579508,"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."}}