Journal Information
Digital Signal Processing
http://www.journals.elsevier.com/digital-signal-processing/
Impact Factor:
2.792
Publisher:
Elsevier
ISSN:
1051-2004
Viewed:
6672
Tracked:
5

Call For Papers
Digital Signal Processing: a Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative one. The journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of groundbreaking research in signal processing with both academic and industrial appeal.

The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging areas in signal processing which do not find space in other journals of the field. These include:

    environmental signal processing,
    stochastic modelling of biological and chemical processes,
    seismic signal processing,
    financial time series analysis,
    stochastic calculus,
    geophysical signal processing,
    systems biology,
    chemioinformatics,
    signal processing for human-computer interaction and intelligent user interfaces,
    signal processing for audio, visual and performance arts,
    signal processing for disaster management and prevention,
    signal processing for renewable energy,
    game theory and group theory for signal processing,
    information theory articles with a signal processing perspective. 

Papers in the classical application areas of signal processing such as telecommunications, speech and image processing are welcome only if they contain novel research. Purely application oriented articles in these areas should be submitted to the relevant dedicated journals. Similarly, authors who would like to submit on areas of neural networks or fuzzy sets are invited to submit their work to the appropriate journals.

Digital Signal Processing: a Review Journal also aims to publish at least one high quality review article in every issue and to provide focus issues with special emphasis on emerging topics. Discussion articles in which several leading researchers discuss the future of a specific research area are also welcome.
Last updated by Dou Sun in 2019-12-04
Special Issues
Special Issue on Sensing, Signal Processing and Computing for the Era of Wearables
Submission Date: 2021-01-31

Wearable mobile devices, or simply wearables, can monitor people’s physiological conditions in a real-time, reliable, and non-invasive manner. They are considered as viable replacements to smartphones for a more natural physiological monitoring. Besides, by incorporating the environment and activity information, wearables can provide more value-added services including the physical and mental healthcare, wellness, entertainment, localization and navigation, user authentication and identification, etc. The research as well as commercialization in this area are becoming more and more significant due to the global population aging issue. According to a recent report by Mordor Intelligence, the wearables’ global market was valued at USD 27.91 billion in 2019 and is expected to reach USD 74.03 billion by 2025, at a compound annual growth rate of 17.65%. Technically, the rapid development of the wearables is concomitant with the emergence of enabling technologies including sensors, micro-electromechanical systems (MEMS), signal processing, wireless communications, mobile and edge computing, integrated circuits, and artificial intelligence. This dramatic growth is impacting several scientific and engineering application domains. However, when designing the wearable systems, there are several features or constraints needed to be taken into account such as the sensing and computing efficiency, accuracy and reliability, data storage and security, communication and networking strategy, power consumption, form factor, flexibility, manufacturing cost, bio-compatibility, and so on. In this context, many of the aforementioned techniques should be reformed or customized to fulfill such practical requirements, which creates broad scientific research opportunities for many traditional communities. The intent of this special issue is to invite scholars, researchers, engineers and other innovators to collectively display their state-of-the-art knowledge and their cutting-edge innovations in the areas of signal processing, data analysis, and computing for the wearable technology and related emerging devices. Review papers on these topics are also welcome. The authors are encouraged to contact the guest editors to ensure that their contribution falls within the scope of this special issue. Topics of interest in this special issue include, but are not limited to: Sensing and Signal Processing for Wearables Data acquisition, signal processing, and data analysis for wearables Advanced signal processing and customized circuits for vital sign sensing Signal processing for motion and gesture detection and classification Human-robot/computer interactions User identification and authentication via wearables Security and privacy issues in wearables Big data analysis for wearables Edge or mobile computing for wearables Machine/Deep/Federated learning in wearables Wearable system design, wearable sensors, actuators, input/output devices
Last updated by Dou Sun in 2020-10-18
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