Aims and Scope

The Journal of Signal Processing Systems for Signal, Image, and Video Technology publishes research, survey and short papers on the design and implementation of signal processing systems, with or without VLSI circuits. 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

    system design methodologies

    SoC Designs

    VLSI and other advanced technologies

    system performance analysis (including measurement, modeling, and simulation) of signal processing systems

Algorithms

    DSP algorithms

    Image, video, and multimedia processing

    pattern recognition algorithms

    machine learning techniques

Architectures

    FPGA

    design of arithmetic circuits and VLSI components used in signal processing (such as multipliers, dividers, and digital filter sections)

    specialized number systems (including on-line arithmetic, residue number systems, and logarithmic number systems)

    embedded architectures and systems

    multi-processor architectures

    parallel, pipelined, and array processors

    multi-core signal processors

    generic and programmable processors

    special purpose signal processor architectures

    algorithms and architecture co-design

Applications

    acoustics/speech/image/video/multimedia

    internet and wireless security

    biometric recognition

    wireless communication and sensor networks

    genomic signal processing

The Journal of Signal Processing Systems for Signal, Image, and Video Technology considers original, peer-reviewed content as well as high quality workshop, symposium, and conference papers with an emphasis on system design. Among other areas, the journal provides an excellent forum for special issues on applications, algorithms, and architectures of timely interest. There is no page charge for authors. 

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.