{"id":"W2040645736","doi":"10.5539/cis.v6n3p118","title":"Application of Wavelet Transform Analysis to ADCs Harmonics Distortion","year":2013,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harmonic wavelet transform; Computer science; Wavelet transform; Wavelet; Total harmonic distortion; Distortion (music); Harmonics; Discrete wavelet transform; Fourier transform; Algorithm; Harmonic; Computation; Second-generation wavelet transform; Stationary wavelet transform; Constant Q transform; Power (physics); Mathematics; Artificial intelligence; Acoustics; Telecommunications; Physics; Electrical engineering; Mathematical analysis; Engineering","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":[0.0003037824,0.0003320733,0.0003028169,0.001171297,0.0001796223,0.000480704,0.0002441474,0.0003203343,0.0007984606],"category_scores_gemma":[0.001044813,0.0001572642,0.0003388988,0.0009874866,0.0003621854,0.0006743486,0.0003510135,0.0004350869,0.0002500709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198188,"about_ca_system_score_gemma":0.0001930911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006251116,"about_ca_topic_score_gemma":0.0004448759,"domain_scores_codex":[0.999727,0.00003174228,0.00001967423,0.00004100101,0.0001654408,0.00001517111],"domain_scores_gemma":[0.9997119,0.00009810556,0.00002573733,0.00003019451,0.0001224481,0.00001162085],"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":[0.0001717705,0.00004397343,0.002958745,0.0003834496,0.00007950146,0.0007581675,0.0002949491,0.0406129,0.1777883,0.03039221,0.001904051,0.744612],"study_design_scores_gemma":[0.00003057614,0.0001513997,0.004766279,0.00003920658,0.00007170589,0.00120083,0.0001345078,0.8617997,0.09163666,0.01833578,0.02178406,0.00004920239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02489228,0.001021113,0.971263,0.0001175802,0.0001083874,0.00001785444,0.00004374294,0.0002221854,0.002313799],"genre_scores_gemma":[0.5058141,0.003708171,0.4862948,0.00007275993,0.0002461468,0.00004087489,0.000201768,0.0001169065,0.003504531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001171297,"threshold_uncertainty_score":0.002671123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003600175828287202,"score_gpt":0.2317406264146335,"score_spread":0.2281404505863463,"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."}}