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Noise Measurement, Acoustic Signal Processing and Noise Control, 2nd Edition

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 943

Special Issue Editor


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Guest Editor
Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, China
Interests: sound-induced vibration; noise control; building acoustics; environmental noise measurement and control; sound source identification
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Special Issue Information

Dear Colleagues,

Noise measurement, acoustic signal processing, and noise control are all related fields, and they are very important for system analyses, experimental validation, and the manipulation of unwanted signals or noise. Noise measurement and signal processing involve quantifying the level and characteristics of a signal or noise and manipulating and interpreting signals in a system or environment. Acoustic signal processing also encompasses a wide range of techniques and algorithms that are used to extract meaningful information from signals, enhance signal quality, and remove or reduce noise. This processing can also involve multiple sensors in different locations and different algorithms. Noise control aims to reduce or eliminate unwanted noise to create a more desirable acoustic environment, based on noise measurements and signal processing. Noise control can be achieved through sound insulation, vibration isolation, active noise cancellation, sound reflections due to impedance mismatch or vibro-acoustic coupling, or the absorption of sound by porous materials, microperforated structures, or meta-materials. Therefore, the topic of noise measurement, acoustic signal processing, and noise control encompasses a range of multidisciplinary areas, including the development of technology, algorithm establishment, measurements, sensor arrangement, the signal processing of acoustics, vibration and machinery signals, signals from fluid dynamics, and the development and analysis of noise control technology. All papers on the technologies used for these purposes and their applications are welcome.

Dr. Yat Sze Choy
Guest Editor

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Keywords

  • sound source generation
  • sound source identification and characterization
  • signal processing
  • signal reconstruction
  • signal analysis
  • vibration signal analysis
  • automobile or vehicle noise
  • machinery noise
  • structural failure diagnoses
  • sensor arrangement
  • noise control
  • sound absorption
  • sound reflection
  • noise reduction

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Published Papers (1 paper)

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Research

16 pages, 5636 KB  
Article
Identification of Noise Tonality in the Proximity of Wind Turbines—A Case Study
by Wolniewicz Katarzyna and Zagubień Adam
Appl. Sci. 2026, 16(2), 734; https://doi.org/10.3390/app16020734 - 10 Jan 2026
Viewed by 622
Abstract
This paper presents a study of the tonality of sound emitted by a wind farm into the surrounding environment. The wind turbines installed at the site have a rated power of 3.0 MW. The aim of the study was to analyse the tonality [...] Read more.
This paper presents a study of the tonality of sound emitted by a wind farm into the surrounding environment. The wind turbines installed at the site have a rated power of 3.0 MW. The aim of the study was to analyse the tonality of sounds in the environment at the nearest residential area. The issue of tonal noise near the wind farm was identified during routine periodic noise monitoring. An experienced survey team identified the phenomenon and carried out preliminary field analyses. Detailed studies were then carried out to identify the environmental hazard and failure-free operation of the turbines. The recorded acoustic events are described in detail and an in-depth analysis is carried out. An action plan has been implemented in consultation with the wind farm operator to reduce tonal sound emissions to the surrounding environment. As a result of these interventions, tonal noise from the wind turbines was successfully reduced. It was determined that the detection of the potential tonality of the sounds emitted by wind turbines should take place during the analysis (active listening) of the .wav file, synchronised with Fast Fourier Transform (FFT) analysis. Conducting tonality assessments solely during field measurements may lead to incorrect identification of tonal sources. Full article
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