Signal Processing Based on Machine Learning Techniques

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 261

Special Issue Editors

E-Mail Website
Guest Editor
Department of Electrical, Electronic and Computer Engineering, University of Catania, 95125 Catania, Italy
Interests: signal processing; computer vision; convolutional neural networks; geolocation; drone communications

E-Mail Website
Guest Editor
Department of Electrical, Electronic and Computer Engineering, University of Ca-tania, 95125 Catania, Italy
Interests: biomedical informatics; EEG; biometrics; signal theory; RMI
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Machine learning (ML) has recently attracted a great deal of attention in the area of signal processing due to its intrinsic ability to analyze the signal in both the time and frequency domains.

Machine learning algorithms are used in many fields, especially in pattern recognition, signal classification, signal processing, computer vision, and biomedical technologies.

In recent years, research on signal processing has extended towards the use of artificial intelligence techniques and, in particular, towards recent machine learning techniques, which include the modern technologies of CNNs (convolutional neural networks) and DNNs (deep neural networks). The main advantages concern their greater accuracy in performance, in terms of robustness to signal degradation, and their lower computational complexity as a result of the possibility of processing data directly in the time domain without necessarily having to implement sets of features, which are typically obtained in the frequency domain. The application fields are numerous: speech recognition and identification, speech synthesis, classification of signals (image, speech, audio, and medical), recognition of emotions, automatic diagnosis, advanced methods and algorithms in smart sensors.

This Special Issue is devoted to reporting novel scientific ideas, approaches, results, and (prototype) solutions/applications on signal processing algorithms based on machine learning. Contributions are solicited in the wide spectrum of topics listed below.

  • Digital signal processing based on machine learning;
  • Signal processing algorithms and neural networks;
  • Artificial intelligence for multimedia signal processing;
  • Signal detection using machine learning;
  • CNNs and DNNs for signal classification and coding;
  • Application of CNNs to the diagnosis of biomedical signals;
  • Audio forensics analysis based on machine learning;
  • Video signal processing and CNNs;
  • Computer vision based on CNNs;
  • Pattern recognition and machine learning;
  • Rainfall estimation using a convolutional neural network.

Dr. Roberta Avanzato
Dr. Francesco Beritelli
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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. Information 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.

Published Papers

This special issue is now open for submission.
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