{"id":"W1510511642","doi":"10.1109/pacrim.2003.1235848","title":"Complex-valued M-band wavelets design","year":2004,"lang":"en","type":"article","venue":"","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wavelet; Sideband; Computer science; Waveform; Electronic engineering; Algorithm; Energy (signal processing); Linear programming; Mathematics; Telecommunications; Engineering; Artificial intelligence; Radio frequency; Radar","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":[0.001056446,0.0006849451,0.0005316085,0.0005574164,0.0002571025,0.0009177645,0.000680364,0.001223158,0.002288352],"category_scores_gemma":[0.002136415,0.0003930951,0.0003961535,0.0006237434,0.0004994653,0.0008753634,0.0005495916,0.0008560809,0.001411532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000407599,"about_ca_system_score_gemma":0.0003791826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001473223,"about_ca_topic_score_gemma":0.0001736105,"domain_scores_codex":[0.9995795,0.0001421923,0.00002938786,0.00008208487,0.0001368865,0.00002989512],"domain_scores_gemma":[0.9994105,0.000170675,0.0001007358,0.000087152,0.000200913,0.00003003471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003434023,0.0001119314,0.0009756016,0.0005651003,0.00005984479,0.0001850526,0.0001865195,0.1415538,0.1065479,0.3585063,0.004998332,0.3859662],"study_design_scores_gemma":[0.00006516965,0.000273124,0.0004242129,0.00009351785,0.00004017139,0.000421153,0.00005978753,0.8446058,0.03790404,0.086113,0.02995742,0.00004260851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002938295,0.0002243342,0.9952245,0.00008158651,0.00003163738,0.00001943209,0.00001802336,0.00003388154,0.001428282],"genre_scores_gemma":[0.1544189,0.001492259,0.8396208,0.0001839263,0.00009878705,0.0002121284,0.00009231116,0.00006556575,0.003815321],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002288352,"threshold_uncertainty_score":0.007655263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0814956469591839,"score_gpt":0.3089277147375847,"score_spread":0.2274320677784008,"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."}}