Aims & Scope

The scope of IEEE Journal of Selected Topics in Signal Processing (JSTSP) is the Field of Interest of the IEEE Signal Processing Society: “The theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals by digital or analog devices or techniques. The term “signal” includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, musical, and other signals.” The format of the journal allows the exploration, in depth, of a signal processing topic. This format allows the Society to not only provide issues on more mature signal processing topical areas, but also to explore new areas, particularly those at the nexus of other engineering disciplines that are dependent upon signal processing (e.g., biomedical engineering; language), as well as those not traditionally part of the engineering landscape (e.g., genetics; security; atmospheric prediction).

Additional Information

The articles in this journal are peer reviewed in accordance with the requirements set forth in the IEEE PSPB Operations Manual (sections 8.2.1.C & 8.2.2.A). Each published article was reviewed by a minimum of two independent reviewers using a single-anonymous peer review process, where the identities of the reviewers are not known to the authors, but the reviewers know the identities of the authors. Articles will be screened for plagiarism before acceptance.

Corresponding authors from low-income countries are eligible for waived or reduced open access APCs.

Special Issue on Low-Bit-Resolution Signal Processing: Algorithms, Implementations, and Applications
Submission Date: 2025-01-30

As the integrated circuits industry and digital signal processing (DSP) technologies continue to thrive, it is feasible to process signals with increased bandwidth and high frequency. However, full resolution processing may not be preferable or practical in some settings since it may result in huge increase in power consumption and hardware costs, especially in large-scale antenna array systems such as the multiple-input multiple output (MIMO) systems, or wireless systems using higher-frequency bands such as ultrawideband radar (UWB). Toward this end, reducing the quantization resolution at both the system level and the processing level may be necessary. Low-bit-resolution (such as 1-bit) signal processing with hardware-efficient architectures (such as low-bit ADCs and DACs) and real-time implementations (such as digital RF processing via advanced FPGA, cost-effective RFSoC design with emerging processing methods) has become a key enabling technique to balance the trade-off between performance, hardware complexity, cost, power consumption, and computation time. Although low-bit-resolution signal processing has great potential in research areas such as signal recovery and analysis, beamforming, target detection and localization, integrated sensing and communications (serving as essential parts of future wireless communication systems, radar, internet of things networks, etc.), it introduces new challenges in both understanding the theoretic limits and designing the processing schemes with low-bit-resolution solutions. This special issue aims to provide an important platform to bring together researchers from both academia and industry to introduce their most recent original works on low-bit-resolution signal processing, and catalyze new developments in this increasingly important area.

Under the constraint of low-bit-resolution signal processing, topics of interest include but are not limited to:

    Performance bound analysis
    Compressive sensing, signal recovery and analysis
    Target detection/localization, and direction of arrival estimation
    Digital beamforming
    Parameter measurement
    Precoding and decoding
    Integrated sensing and communication
    Digital automotive radar
    Artificial intelligence and neural networks
    Reconfigurable intelligent surface technology
    Multimedia processing
    High-throughput satellite communications
    Industrial IoT
    Hardware/software based real-time implementations

The Guest Editors also welcome creative papers outside the areas listed above but related to the overall scope of the special issue. Prospective authors may contact the Guest Editors to ascertain interest on topics that are not listed, and should follow the instructions given on the IEEE JSTSP webpage and submit their manuscripts via the ScholarOne submission system. All submitted manuscripts will be peer-reviewed according to the standard IEEE process. 

Important Dates

    Manuscript submission due: 30 January 2025
    First round of reviews due: 31 March 2025
    Revised manuscript due: 15 May 2025
    Second round of reviews due: 15 June 2025
    Notification of acceptance: 30 June 2025
    Publication: September 2025

Guest Editors

​For further information, please contact the guest editors at: 

    Wei Liu (Lead GE), Queen Mary University of London, UK
    Maria Sabrina Greco, University of Pisa, Italy
    Rodrigo C. de Lamare, Pontifical Catholic University of Rio de Janeiro, Brazil
    Qing Shen, Beijing Institute of Technology, China
    Mojtaba Soltanalian, University of Illinois Chicago, USA
    Pu (Perry) Wang, Mitsubishi Electric Research Laboratories (MERL), USA