{"id":"W1831691389","doi":"10.1109/ccece.1996.548267","title":"Filterbank implementation of a window based Gabor transform","year":2002,"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":"Department of National Defence","funders":"","keywords":"Gabor transform; Filter bank; Computer science; S transform; Gabor wavelet; Signal processing; Time–frequency analysis; Window function; Constant Q transform; Sonar; SIGNAL (programming language); Sonar signal processing; Artificial intelligence; Radar; Joint (building); Speech recognition; Computer vision; Algorithm; Filter (signal processing); Wavelet transform; Telecommunications; Discrete wavelet transform; Engineering","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":[0.0002237737,0.0002841745,0.0003197637,0.0002149797,0.0001491098,0.0005531436,0.00031116,0.0005226284,0.005883115],"category_scores_gemma":[0.000596598,0.0001305865,0.0002742891,0.0003386806,0.0001315649,0.0004429384,0.0002190173,0.0003454179,0.002580667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001589504,"about_ca_system_score_gemma":0.0002455591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007029923,"about_ca_topic_score_gemma":0.0005937265,"domain_scores_codex":[0.9999024,0.00001377436,0.000008852168,0.00002095243,0.00003813951,0.00001596655],"domain_scores_gemma":[0.9998872,0.00003354623,0.000009344993,0.0000261822,0.00003686076,0.000006898878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005426458,0.00009929448,0.0006116472,0.0001639095,0.00005542151,0.0004559172,0.0001693503,0.04084699,0.3441868,0.05328313,0.008128191,0.5514568],"study_design_scores_gemma":[0.00007246278,0.0004459675,0.002073601,0.00004957927,0.00007208528,0.0009439584,0.00006405897,0.7530291,0.1719504,0.01217998,0.05906817,0.0000506437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01169243,0.0001476237,0.9844329,0.00005962459,0.0001399529,0.00002721632,0.00009556676,0.001023647,0.00238104],"genre_scores_gemma":[0.2662756,0.000535137,0.7229747,0.0001056983,0.00009457175,0.0001634901,0.0004836469,0.0001840012,0.009183193],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005883115,"threshold_uncertainty_score":0.01968104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0302989672789318,"score_gpt":0.2985119077711896,"score_spread":0.2682129404922579,"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."}}