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.

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  • Sun-Yuan Kung
  • Shuvra S. Bhattacharyya,
  • Jarmo Takala
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Hybrid (Transformative Journal). How to publish with us, including Open Access

Journal metrics

1.813 (2021)
Impact factor
1.345 (2021)
Five year impact factor
61 days
Submission to first decision (Median)
124,666 (2021)

Latest issue

Volume 94

Issue 10, October 2022

Special Issue on Advances in Signal Processing Systems

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