{"id":"W2165333292","doi":"10.1109/cnsr.2007.52","title":"PTS Peak Power Reduction of OFDM Signals with Low Complexity IFFTs","year":2007,"lang":"en","type":"article","venue":"","topic":"PAPR reduction in OFDM","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Fast Fourier transform; Orthogonal frequency-division multiplexing; Computational complexity theory; Reduction (mathematics); Decimation; Algorithm; SIGNAL (programming language); Mathematics; Computer science; Split-radix FFT algorithm; Radix (gastropod); Power (physics); Frequency-division multiplexing; Multiplexing; Telecommunications; Fourier transform; Bandwidth (computing); Channel (broadcasting); Short-time Fourier transform; Fourier analysis; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001937489,0.0001216941,0.0001552467,0.0001170257,0.00002931682,0.000008949411,0.00008804505,0.00006003522,0.0008366697],"category_scores_gemma":[0.000009987843,0.0001073321,0.00003801783,0.0002370944,0.0001047169,0.000135909,0.00001180211,0.000110394,0.00005464153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006288,"about_ca_system_score_gemma":0.00001114097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003194076,"about_ca_topic_score_gemma":0.00001237817,"domain_scores_codex":[0.9991915,0.00001042598,0.0002429968,0.0001311183,0.0002099856,0.0002140291],"domain_scores_gemma":[0.9995555,0.00002045224,0.00004181586,0.0002197014,0.00008519558,0.00007727998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001692757,0.000244595,0.001011502,0.0002621636,0.0002062797,0.00001424565,0.001310213,0.04934253,0.9139048,0.007841849,0.02210407,0.003588497],"study_design_scores_gemma":[0.00090594,0.0002131143,0.0365384,0.0001063733,0.00003005372,0.0001966791,0.001200415,0.001955592,0.952409,0.0009948763,0.004908979,0.0005405675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816057,0.00005945999,0.02351167,0.00005220087,0.0005172776,0.0001456909,0.000003766289,0.0003615431,0.09374268],"genre_scores_gemma":[0.9942155,0.000004836018,0.00482401,0.00001038614,0.00009192515,0.00000277385,0.000004130895,0.00002574315,0.0008206696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1126098,"threshold_uncertainty_score":0.9160947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775847731277896,"score_gpt":0.2446657108151301,"score_spread":0.2269072335023512,"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."}}