Machine Learning Algorithms for Signal Processing
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 29
Special Issue Editor
Special Issue Information
Dear Colleagues,
Sensors and cameras are designed to provide data or information to the user. Nevertheless, analysis must be performed on the data to reach any conclusions. However, because these data are often corrupted by noise and multivariate (i.e., multiple factors influence the data), sound conclusions are difficult to obtain. Thus, these data usually need to undergo some type of signal processing to allow us to reach a reliable conclusion. Moreover, as the complexity and volume of data continue to increase, traditional signal processing methods will not be adequate. Therefore, innovative solutions for analyzing complex data are needed to advance the fields of signal processing and data analysis.
Machine learning (ML) algorithms are becoming increasingly popular and are being utilized for tasks such as classifying information, processing speech or language, facial recognition, and predicting trends in data. These techniques offer groundbreaking solutions for signal processing because they uncover patterns in data, allowing for noise reduction and anomaly detection. By utilizing these algorithms independently or integrating them into signal processing software, researchers and engineers can improve the accuracy of data analysis and optimize performance in communication systems, medical imaging, and audio processing.
This Special Issue of the journal Algorithms will present research on machine learning methods with uses in signal processing, serving as an invaluable resource compiling cutting-edge research with real-world applications and bridging the important fields of data analytics and signal processing.
Dr. Fred Lacy
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 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. Algorithms is an international peer-reviewed open access monthly 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 1600 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
- machine learning
- signal processing
- signal analysis
- image processing
- speech processing
- data analytics
- noise reduction
- filtering
- pattern recognition
- anomaly detection
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