Recent Advances in Digital Signal Processing for Engineering Applications
A special issue of Eng (ISSN 2673-4117). This special issue belongs to the section "Electrical and Electronic Engineering".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 77
Special Issue Editors
Interests: VR/AR; 3D reconstruction; 3D motion capture; signal processing (artificial intelligence) for smart education systems/intelligent manufacturing systems
Interests: reinforcement learning; multi-agent collaborative decision-making; ligament control
Special Issue Information
Dear Colleagues,
Digital signal processing (DSP) plays a crucial role in modern engineering applications by enabling the analysis, modification, and synthesis of signals to improve performance, extract information, or enhance efficiency.
This Special Issue aims to provide a dedicated platform for recent advances in digital signal processing for engineering applications, highlighting both theoretical advancements and practical implementations of DSP across various engineering fields (such as smart education systems/intelligent manufacturing systems).
1. Signal Filtering
- Removing Noise: DSP techniques (e.g., FIR, IIR filters) eliminate unwanted noise from signals.
- Filtering: This is used in audio processing (equalizers), ECG signal processing, and radar systems.
2. Artificial Intelligence in Signal Detection and Enhancement
- Pattern Recognition: This detects specific patterns in signals (e.g., ECG arrhythmias, seismic activity).
- Power Spectrum Estimation: This is used in radar, sonar, and wireless channel characterization.
3. Artificial Intelligence in Image and Video Processing
- Enhancement and Restoration: This involves noise reduction, edge detection, and super-resolution (medical imaging, surveillance).
- Object Recognition: DSP techniques preprocess images for AI-based vision systems.
4. Control Systems and Automation
- Digital Feedback Systems: DSP algorithms (e.g., PID controllers) improve precision in industrial automation, robotics, and automotive systems.
- Adaptive Control: This adjusts parameters in real time (e.g., active noise cancellation in headphones).
5. Biomedical Signal Processing
- ECG/EEG/EMG Analysis: This detects anomalies, filters artifacts, and extracts diagnostic features.
- Medical Imaging: MRI, CT, and ultrasound rely on DSP for reconstruction and enhancement.
6. Artificial Intelligence in Radar and Sonar Processing
- Target Detection: DSP algorithms process reflected signals to identify objects (military, aviation, underwater acoustics).
- Machine Learning Integration: DSP features feed into AI models for predictive maintenance and anomaly detection.
Dr. Jia Chen
Dr. Jun Yang
Dr. Wenchao Huang
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. Eng 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 1400 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 filtering
- signal detection and enhancement
- image and video processing
- control systems and automation
- biomedical signal processing
- radar and sonar processing
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