Journal Information
Journal of Signal Processing Systems
https://link.springer.com/journal/11265
Impact Factor:
1.600
Publisher:
Springer
ISSN:
1939-8018
Viewed:
14564
Tracked:
5
Call For Papers
Aims and scope

Journal of Signal Processing Systems publishes research papers on the design and implementation of systems for signal processing and machine learning. The journal is published in twelve issues and is distributed to engineers, researchers, and educators in the general field of signal processing systems.

The key subject areas of interest to the journal are:

System Design and Implementation
• Algorithm/architecture co-design
• Design methods and implementation approaches for DSP algorithms, machine learning, pattern recognition, and image/video/multimedia processing
• System design methodologies
• Embedded systems for signal processing and machine learning
• FPGA and ASIC implementations
• System-on-Chip and Network-on-Chip designs
• Software implementations for signal processing and machine learning
• System performance analysis (including measurement, modeling, and simulation) of signal processing systems

Architectures
• Architectures for embedded signal processing
• Accelerators for signal processing and machine learning
• Accelerators for embedded computer vision
• Multi-core and many-core signal processors
• Architectures for emerging signal processing and machine learning applications

Applications
• Machine learning
• Acoustics and speech processing
• Image/video/multimedia
• Biomedical signal processing
• Wireless communication and sensor networks
• Genomic signal processing
• Emerging applications in signal processing and machine learning

Journal of Signal Processing Systems considers original, peer-reviewed content as well as extended versions of high quality workshop, symposium, and conference papers related to design and implementation of signal processing and machine learning systems. Among other areas, the journal provides an excellent forum for special issues on signal processing and machine learning applications, algorithms, and architectures of timely interest.

Authors benefit from Online FirstTM Publication – in which articles are available and citable online by their DOI (Digital Object Identifier) in advance of print publication. This ensures a fast time-to-publication for accepted papers and enables a wide electronic readership for the journal content.
Last updated by Dou Sun in 2024-07-21
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