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Traitement du Signal
中科院4区 JCR:Q4 SCIE EI
The TS provides rapid dissemination of original research in the field of signal processing, imaging and visioning. Since its founding in 1984, the journal has published articles that present original research results of a fundamental, methodological or applied nature. The editorial board welcomes articles on the latest and most promising results of academic research, including both theoretical results and case studies. The TS welcomes original research papers, technical notes and review articles on various disciplines, including but not limited to: Signal processing Imaging Visioning Control Filtering Compression Data transmission Noise reduction Deconvolution Prediction Identification Classification.
- 主办单位： INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC
- 出版地区： EDMONTON
- 出版周期： 双月刊
- 别名： TRAIT SIGNAL;Trait. Signal;TRAITEMENT DU SIGNAL
- 国际标准连续出版物号/电子版： ISSN 0765-0019 / EISSN 1958-5608
- 创刊时间： 1984年
热门主题：
Deep LearningConvolutional Neural NetworkConvolutional Neural NetworksFeature ExtractionSupport Vector MachineImage ProcessingTransfer LearningMachine LearningDeep Convolutional Neural NetworkImage SegmentationDiscrete Wavelet TransformImage EnhancementDeep Learning ModelObject DetectionFeature Extraction and ClassificationImage RecognitionDeep Neural NetworksDEEP LEARNING APPROACHFeature SelectionComputer Vision
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期刊信息
- 主办单位：INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC
- 地 址： EDMONTON
期刊简介
The TS provides rapid dissemination of original research in the field of signal processing, imaging and visioning. Since its founding in 1984, the journal has published articles that present original research results of a fundamental, methodological or applied nature. The editorial board welcomes articles on the latest and most promising results of academic research, including both theoretical results and case studies. The TS welcomes original research papers, technical notes and review articles on various disciplines, including but not limited to: Signal processing Imaging Visioning Control Filtering Compression Data transmission Noise reduction Deconvolution Prediction Identification Classification.