{"id":"W2081289377","doi":"10.1109/tcsii.2006.889453","title":"New Systolic Algorithm and Array Architecture for Prime-Length Discrete Sine Transform","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Prime (order theory); Sine; Systolic array; Simple (philosophy); Algorithm; Convolution (computer science); Mathematics; Discrete sine transform; Transformation (genetics); Discrete cosine transform; Discrete mathematics; Computer science; Combinatorics; Very-large-scale integration; Mathematical analysis; Fourier transform; Geometry; Fourier analysis","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":[0.0001695892,0.0003282233,0.0002614101,0.0004545927,0.0002700578,0.0005034044,0.0006768636,0.00031531,0.002871134],"category_scores_gemma":[0.0003645402,0.0001754792,0.0002392006,0.0006261799,0.000262512,0.0007089876,0.0003170684,0.0004461157,0.001030163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003655791,"about_ca_system_score_gemma":0.0008025232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005100335,"about_ca_topic_score_gemma":0.001012181,"domain_scores_codex":[0.9998658,0.00001852494,0.00001338876,0.00002440029,0.00006523938,0.00001270832],"domain_scores_gemma":[0.9998952,0.00002356926,0.00001092856,0.00001620045,0.00004713086,0.000006980508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002012573,0.0001016888,0.0006366872,0.0002395427,0.00003934049,0.0002836944,0.000188758,0.06633157,0.1722378,0.1380837,0.00556321,0.6160927],"study_design_scores_gemma":[0.0001385444,0.0005322943,0.0004302884,0.00003947462,0.00005733453,0.0007763316,0.0000649276,0.835324,0.07859466,0.02873923,0.05525536,0.00004753136],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005080384,0.0001179525,0.9913721,0.00005804888,0.00005546993,0.00003110518,0.00002341994,0.0005041376,0.002757473],"genre_scores_gemma":[0.07396841,0.0003008336,0.9211969,0.00006865897,0.00009219912,0.0001185215,0.0001406569,0.00005047804,0.00406325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002871134,"threshold_uncertainty_score":0.009604871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001259224966694,"score_gpt":0.2543285198812066,"score_spread":0.2343159276315396,"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."}}