Intelligent Signal Processing and Its Applications

Dear Colleagues,

With the rapid development of technologies such as 5G and the Internet of Things (IoT), intelligent signal processing has become increasingly widespread in numerous fields, including communications, healthcare, and industry. The complexity and ever-changing nature of signal environments, along with their diverse application requirements, place greater demands on intelligent signal processing techniques. Meanwhile, the continuous innovation in artificial intelligence, machine learning, and other cutting-edge technologies provides continued impetus for its development.​

On the other hand, the emergence of novel signal processing algorithms, especially in the context of deep learning and reinforcement learning, has revolutionized many traditional signal processing methods. These new algorithms, with their powerful feature extraction and pattern recognition capabilities, unlock new possibilities for solving complex signal processing problems, revealing a new chapter in intelligent signal processing and its applications.​

This Special Issue explores the latest trends in intelligent signal processing and its applications, covering new signal processing algorithms, innovative application scenarios, and novel datasets. Prospective authors are invited to submit high-quality original research papers and comprehensive reviews to this Special Issue, with topics of interest including, but not limited to, the following:

1. Signal processing algorithms based on deep learning, including convolutional neural networks, recurrent neural networks, and their variants​;
2. Adaptive signal processing techniques for complex environments, such as interference suppression and noise reduction​;
3. Intelligent signal processing in communication systems, including 5G/6G signal modulation and demodulation, as well as channel estimation​;
4. Signal processing applications in healthcare, such as electrocardiogram (ECG) and brain–computer interface (BCI) analyses;
5. Signal processing for the industrial Internet of Things (IIoT), including fault diagnosis of mechanical equipment and condition monitoring​;
6. New representation and feature extraction methods for signals, including time-frequency analysis and sparse representation​.

Prof. Dr. Shuai Li
Dr. Chuankun Li
Dr. Jian Li
Dr. Yanbo Gao
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. Electronics 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 2400 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.

• intelligent signal processing
• signal feature extraction
• deep learning
• industrial IoT signal processing
• signal processing tools and frameworks