Overview
Journal of Signal Processing Systems is focused on the design and implementation of systems for signal processing and machine learning.
- Publishes a wide range of topics in the areas of system design, methodologies, and applications.
- Features original, peer-reviewed content as well as extended versions of high-quality conference papers.
- Provides a platform for emerging applications in signal processing and machine learning.
- Editor-in-Chief
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- Sun-Yuan Kung
- Co-Editor-in-Chief
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- Jarmo Takala,
- John McAllister
- Journal Impact Factor
- 1.6 (2023)
- 5-year Journal Impact Factor
- 1.5 (2023)
- Submission to first decision (median)
- 62 days
- Downloads
- 189,416 (2023)
Latest articles
Journal updates
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Special issue guidelines
Guidelines for JSPS special issue proposals and paper submission.
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Call for Papers: AI Compilers and Embedded Multicore Optimizations in Journal of Signal Processing Systems
Guest editors: Jenq Kuen Lee, Yung-Chia Lin, Wen-Chuan Lee, Chia-Heng Tu
Submission deadline: 15 April 2024
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Big Data Security Track
We are excited to announce a new Big Data Security track in the Journal of Signal Processing Systems, to be handled by Area Editor, Dr. Meikang Qiu.
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Insights from Negative Results Track
We are excited to announce a track, Insights from Negative Results in the Journal of Signal Processing Systems, handled by Karol Desnos and Alexandre Mercat.
Journal information
- Electronic ISSN
- 1939-8115
- Print ISSN
- 1939-8018
- Abstracted and indexed in
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- ACM Digital Library
- Astrophysics Data System (ADS)
- BFI List
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Current Contents/Engineering, Computing and Technology
- DBLP
- Dimensions
- EBSCO
- EI Compendex
- Google Scholar
- Japanese Science and Technology Agency (JST)
- Naver
- Norwegian Register for Scientific Journals and Series
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- SCImago
- SCOPUS
- Science Citation Index Expanded (SCIE)
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- Copyright information
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© Springer Science+Business Media, LLC, part of Springer Nature