{"id":"W2368129884","doi":"","title":"Parameterization of Wavelet Transforms Based on CORDIC and Their Implemention","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CORDIC; Computer science; Wavelet; Fast wavelet transform; Rotation (mathematics); Orthogonal wavelet; Algorithm; Wavelet transform; Lifting scheme; Stationary wavelet transform; Orthonormality; Recursion (computer science); Discrete wavelet transform; Second-generation wavelet transform; Orthonormal basis; Field-programmable gate array; Artificial intelligence; Computer hardware","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004367543,0.0006174292,0.0003733789,0.0006661307,0.0003888241,0.000841914,0.0006348182,0.000322865,0.003227165],"category_scores_gemma":[0.001508691,0.0002033579,0.0002932931,0.0006152394,0.0004619272,0.0009698951,0.000424085,0.0005431768,0.0009836545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005294093,"about_ca_system_score_gemma":0.0005263966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009344336,"about_ca_topic_score_gemma":0.0009410057,"domain_scores_codex":[0.9995622,0.00007332051,0.00004830603,0.00006629435,0.0002062031,0.00004370029],"domain_scores_gemma":[0.9995738,0.0000736407,0.00004790128,0.0001379973,0.0001481268,0.00001863371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005693219,0.00009038972,0.001184593,0.0003109392,0.00004314928,0.0003805599,0.0002936167,0.02838701,0.1508063,0.1256139,0.003701399,0.6886188],"study_design_scores_gemma":[0.0001981732,0.0006533465,0.00136569,0.0001463796,0.00009088412,0.001583256,0.0001369395,0.4341266,0.4298221,0.03294893,0.09882126,0.0001064526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02630238,0.000400843,0.960562,0.00009405384,0.0001278808,0.0001194227,0.00005766271,0.001929511,0.01040619],"genre_scores_gemma":[0.3650816,0.0005438045,0.628782,0.0000997968,0.0000957768,0.0001925936,0.0002240701,0.0002848273,0.004695551],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003227165,"threshold_uncertainty_score":0.01079595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005235607320820259,"score_gpt":0.2272754520893691,"score_spread":0.2220398447685488,"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."}}