Advanced Signal Processing Technologies: Integrating AI, Future Communications, and Innovative Applications
A special issue of Signals (ISSN 2624-6120).
Deadline for manuscript submissions: 30 April 2026 | Viewed by 28
Special Issue Editors
Interests: wearable health monitoring; biomedical signal processing; smart healthcare
Special Issues, Collections and Topics in MDPI journals
Interests: adaptive signal processing; IoT; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: statistical and digital signal processing; computational biology; network models and protocols
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce the upcoming Special Issue "Advanced Signal Processing Technologies: Integrating AI, Future Communications, and Innovative Applications". This Special Issue aims to bring together cutting-edge research and innovative contributions from scholars, researchers, and practitioners in the field of signal processing.
The Issue will focus on recent advancements, emerging trends, and novel methodologies in signal processing, including but not limited to, the following topics:
- Core and fundamental signal processing theories
- Blind signal processing;
- Array signal processing;
- Theory and applications of frequency diverse array (a specific type of array processing);
- Super-resolution theory, methods, and applications.
- Application-specific signal processing
- Image and video processing;
- Audio and acoustic signal processing;
- Biomedical and healthcare signal processing;
- Radar, sensing, and localization.
- Communication systems signal processing
- Communication signal processing;
- New waveforms for 6G communications, sensing, and localization;
- Intelligence of system communication, control and reliability.
- AI and machine learning for signal processing
- Machine learning for signal processing;
- AI-aided signal processing;
- Large language models and signal processing;
- Intelligent information processing and its marine applications.
We invite submissions of original research articles and comprehensive reviews that demonstrate significant theoretical and practical contributions to the field. This Special Issue will provide a platform for disseminating high-quality research and fostering collaborations among academics and industry experts.
We look forward to your valuable contributions.
Dr. Xiao-Rong Ding
Prof. Dr. Ying-Ren Chien
Dr. Pavel Loskot
Guest Editors
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Signals is an international peer-reviewed open access quarterly 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 1200 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
- core and fundamental signal processing theories
- application-specific signal processing
- communication systems signal processing
- AI and machine learning for signal processing
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