Sound and Vibration: Measurement, Perception, and Control
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".
Deadline for manuscript submissions: 20 June 2026 | Viewed by 3
Special Issue Editors
Interests: acoustic signal
Interests: machine learning; deep learning; multisensor intelligent processing; vibration and acoustics; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sound and vibration play a critical role in a wide range of scientific, industrial, and environmental applications. Understanding their measurement, perception, and control is crucial for enhancing acoustic comfort, mitigating noise pollution, and improving performance in engineering systems. Rapid advancements in sensing technologies, digital signal processing, and data analytics have opened new possibilities for accurate sound and vibration monitoring across multiple scales, from micro-mechanical systems to large-scale structures. The perception of sound and vibration remains a key interdisciplinary area, linking engineering, psychology, and physiology, and driving human innovations in machine interfaces and product design. Effective control strategies, including active and passive noise reduction techniques, smart materials, and adaptive algorithms, are becoming increasingly important for sustainable and efficient solutions. This Special Issue welcomes studies addressing fundamental and applied aspects of sound and vibration, including measurement methods, signal analysis, perception modeling, noise control systems, acoustic materials, and emerging technologies for monitoring and management. Research contributing to advancements in measurement accuracy, perceptual understanding, and control optimization is expected to support the development of safer, quieter, and more efficient environments in both industrial and urban contexts.
Dr. Yu Huang
Dr. Liang Yu
Guest Editors
Manuscript Submission Information
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Keywords
- sound measurement
- vibration analysis
- noise control
- acoustic perception
- smart materials
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