Advances in Signal Processing and Machine Learning: Theory, Algorithms, and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 33
Special Issue Editor
Interests: artificial intelligence; machine learning; metamaterials/metasurface; sparse representaion; statistical signal processing; optimization; information sciences
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The fields of signal processing (SP) and machine learning (ML) have long been intertwined, with SP providing foundational theories for data representation and transformation and ML offering powerful tools for pattern recognition and decision-making. In recent years, this synergy has entered a new era of unprecedented collaboration. The explosion of complex, high-dimensional data from sensors, networks, and multimedia systems demands solutions that are not only statistically intelligent but also physically aware, computationally efficient, and robust.
This Special Issue aims to collect cutting-edge research at the intersection of these two dynamic fields. We seek to explore how traditional signal processing principles can inform, stabilize, and enhance machine learning models, and conversely, how advanced ML techniques can solve long-standing SP challenges in novel ways. The goal is to foster the development of interpretable, efficient, and trustworthy intelligent systems that are grounded in solid signal processing theory.
Prof. Dr. Shuxue Ding
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- signal processing and time-series analysis
- machine learning and deep learning
- cross-modal learning and LLM
- interpretable AI
- integrated sensing and processing
- next-generation communications
- biomedical signal analysis
- audio and speech processing
- remote sensing
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
