The Journal of Signal Processing Systems publishes research papers on the design and implementation of systems for signal processing and machine learning. Readers will find a wide range of topics of timely interest in the subject areas of system design and implementation, methodologies, architectures, and applications for signal processing and machine learning. In addition to original, peer reviewed content, the journal features extended versions of high quality workshop, symposium, and conference papers related to design and implementation of signal processing and machine learning systems.

Journal information

Editor-in-Chief
  • Sun-Yuan Kung
Co-Editor-in-Chief
  • Shuvra S. Bhattacharyya,
  • Jarmo Takala
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

1.013 (2019)
Impact factor
0.892 (2019)
Five year impact factor
84 days
Submission to first decision
249 days
Submission to acceptance
83,041 (2019)
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Volume 93

Issue 1, January 2021

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This journal has 69 open access articles
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About this journal

Electronic ISSN
1939-8115
Print ISSN
1939-8018
Abstracted and indexed in
  1. ACM Digital Library
  2. CNKI
  3. Current Contents/Engineering, Computing and Technology
  4. DBLP
  5. Dimensions
  6. EBSCO Discovery Service
  7. EI Compendex
  8. Google Scholar
  9. Institute of Scientific and Technical Information of China
  10. Japanese Science and Technology Agency (JST)
  11. Journal Citation Reports/Science Edition
  12. Naver
  13. OCLC WorldCat Discovery Service
  14. ProQuest Advanced Technologies & Aerospace Database
  15. ProQuest Central
  16. ProQuest SciTech Premium Collection
  17. ProQuest Technology Collection
  18. ProQuest-ExLibris Primo
  19. ProQuest-ExLibris Summon
  20. SCImago
  21. SCOPUS
  22. Science Citation Index Expanded (SciSearch)
  23. TD Net Discovery Service
  24. UGC-CARE List (India)
  25. WTI Frankfurt eG
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