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It has good performance since a priori-knowledge of fundamental frequency of the noise source (called reference frequency) is adopted.
Good performance and valuable noise characteristics are achieved.
It is shown that for these, the product of voids content and thickness is a good descriptor of noise reduction.
Since the thermal noise is almost white, very good statistics is necessary to resolve its colour.
Proceedings ArticleDOI
Christian Hentschel, Haiyan He 
13 Jun 2000
11 Citations
Noise adaptive algorithms are much more robust, and a good and accurate enough algorithm for noise measurement is a key component.
The results indicate good spectral fidelity and stability so long as the signal-to-noise ratio is not very low.
In addition, initial tests show that this method is capable of reproducing experimental noise measurements within 3 dB accuracy.
Tests show that this approach is capable of reproducing experimental noise measurements to within an accuracy of 3 dB, and predicts similar noise levels to fully three-dimensional simulations.

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Are transient evoked potential recored using clicks or tone bursts?
4 answers
Transient evoked potentials can be recorded using both clicks and tone bursts. Clicks are commonly used stimuli for transient-evoked otoacoustic emissions (TEOAE), while tone bursts have been shown to evoke vestibular-evoked myogenic potentials (VEMPs) effectively. Tone bursts, particularly at specific frequencies like 500 Hz, have demonstrated reliable responses with larger amplitudes and better test-retest reliability compared to clicks. Additionally, toneburst-evoked auditory brainstem responses (ABR) have been utilized to obtain frequency-specific information, especially in difficult-to-test populations, showcasing the potential of tone bursts in assessing auditory processing systems. Therefore, both clicks and tone bursts play crucial roles in recording transient evoked potentials, each offering unique advantages in different auditory and vestibular assessments.
What is relationship between noise annoyance level and noise sensitivity?
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The relationship between noise annoyance level and noise sensitivity is intricate and multifaceted. Studies have shown that noise sensitivity moderates the association between environmental noise exposure and annoyance, affecting health outcomes. Individuals with higher noise sensitivity tend to experience elevated annoyance levels in response to various noise types, such as road traffic noise and aircraft overflights. Moreover, noise sensitivity has been linked to increased psychological ill-health, especially when exposed to road traffic noise, highlighting its role in influencing subjective responses to noise. Overall, high noise sensitivity can amplify noise annoyance levels and contribute to a poorer subjective health status, emphasizing the importance of considering individual differences in noise sensitivity when assessing the impact of environmental noise on well-being.
Comparison on levels of occupational noise between authorised service centre and general workshop?
5 answers
A comparison of occupational noise levels between an authorized service center and a general workshop reveals significant differences in exposure and potential impacts. The use of digital signal processing in noise measurement instruments has enhanced measurement capabilities, leading to confusion in reporting values under different standards. Studies on threshold hearing levels of workers exposed to varying noise levels show increased hearing losses with higher noise exposure, particularly at 4000 Hz frequency. Research on work stress in electronic companies highlights higher stress levels in clean workshops compared to ordinary ones, especially among males, indicating a potential correlation with occupational noise levels. This emphasizes the importance of understanding and addressing occupational noise exposure variations between different work environments.
Variations of wall roughness and different geometric shapes of the nozzle in a turbulent wall jet?
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Variations in wall roughness and different geometric shapes of the nozzle significantly impact turbulent wall jets. Studies show that roughness in the near-wall region of wall jets mainly affects the flow dynamics. On the other hand, different nozzle geometries, such as extending or grooving the nozzle, have minimal effects on the exit flow characteristics, while the presence of a ring significantly increases turbulence intensity and mean velocity at the exit, requiring higher inlet pressure for fluid movement. Additionally, roughness on walls alters the behavior of the horseshoe vortex system, leading to increased flow incoherence and more evenly spread vorticity and turbulence throughout the junction. Despite roughness modifications in near-wall flow, the development of primary vortices in impinging jets remains relatively unaffected by surface roughness.
What can students do to address noise in terms of Operations of Algebraic Expressions?
5 answers
To address noise in terms of Operations of Algebraic Expressions, students can apply noise filtering techniques like the high gain observer (HGO) approach, which is effective in controlling perturbed systems. Additionally, for recognizing mathematical expressions, students can utilize segmentation methods involving pre-processing, segmentation, and post-processing stages to reduce noise effects and improve recognition outcomes. Moreover, in signal analysis problems related to noise, the concept of noise operators can be employed to analyze signal in noise scenarios, especially in radar and sonar applications. By implementing these strategies, students can enhance their understanding and accuracy when working with algebraic expressions in the presence of noise.
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The refrigerant charge amount significantly impacts the vibration and noise levels in refrigeration systems. Studies have shown that different refrigerants lead to varying vibration and noise performances in sealed reciprocating compressors, with values closely related to the type of refrigerant used. Additionally, the cooling performance of a transcritical cycle is greatly affected by the refrigerant charge amount, with undercharging conditions leading to increased expansion losses and higher noise levels. Furthermore, optimizing the refrigerant charge amount is crucial for heat pump systems, as it influences the condensing pressure, subcooling, and ultimately the coefficient of performance (COP) of the system, highlighting the importance of charge optimization for system efficiency and noise reduction.
Why use gaussian noise in cGAN model?
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Gaussian noise is utilized in conditional Generative Adversarial Network (cGAN) models for various reasons. Firstly, the application of additive Gaussian noise in GANs can enhance convergence speed. Secondly, Gaussian noise is crucial for simulating real-world noise scenarios accurately, especially in the context of image denoising using deep learning models. Additionally, Gaussian noise models play a significant role in evaluating the impact of factors like inter-channel stimulated Raman scattering on optical Kerr nonlinearity in transmission systems, providing a more accurate representation of signal power profiles along the link. Lastly, Gaussian noise can also be leveraged to address issues related to posterior approximation accuracy in generative models like Variational Autoencoders, offering a principled approach to handling uncertainty in posterior approximation.
Overview of Hearing Loss in Teenagers?
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Hearing loss in teenagers is a growing concern due to various factors such as exposure to high volumes from headphones and environmental noise like concerts and discos. Studies show that hearing impairment in school-aged children and adolescents can have significant impacts on academic success and quality of life, with prevalence ranging from 0.88% to 46.70%. Adolescents with deafness face unique challenges, including limited access to information and biased attitudes, affecting their self-esteem and identity development. Research on 13-year-old adolescents in the Netherlands revealed a prevalence of sensorineural hearing loss (SNHL) at 6.4% and noise-induced hearing loss (NIHL) at 12.4%, with SNHL decreasing but NIHL increasing between ages 9 and 13. Early detection, prevention strategies, and support systems are crucial in addressing hearing loss issues in teenagers.
What factors contribute to the overall experience of students living in rental houses?
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Various factors significantly impact the overall experience of students living in rental houses. The cost of housing, housing insecurity, unaffordability, and living conditions play crucial roles in shaping students' perceptions of their academic attainment. Additionally, the location of the accommodation, availability of basic facilities, safety, and security measures in the rental housing also influence students' living experiences. Factors such as distance from educational institutions, dampness, heating, noise levels, and the presence of a written contract are found to affect rental prices and subsequently impact students' choices and experiences in rental housing. These findings underscore the importance of addressing housing challenges to enhance students' overall well-being and academic success.
How can EEG be used by Human resource professionals to enhance employee productivity?
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EEG can be utilized by Human Resource professionals to enhance employee productivity by implementing systems like the "EEG-Based Aptitude Detection System". This system helps in assigning proper job roles based on employees' working aptitude, leading to increased productivity and reduced stress levels caused by improper role assignments. Additionally, integrating real-time EEG workload indices into the man-machine interface can optimize human-system interaction, adjusting tasks based on the user's cognitive workload. Furthermore, EEG-based mental workload estimators trained on specific tasks can be enhanced using cross-task performance-based feature selection and regression models, improving MW estimation across different tasks and ultimately enhancing performance. By leveraging EEG technology in these ways, HR professionals can tailor job roles, optimize task allocation, and improve overall productivity in the workplace.
What is the average lifespan of a 300kw screw compressor in industrial settings?
5 answers
The average lifespan of a 300kW screw compressor in industrial settings can vary based on maintenance and operational conditions. Research suggests that the lifespan of key components in a screw compressor can be predicted and maintained through qualitative and quantitative analyses. Additionally, the design of screw compressors includes features like noise isolation enclosures for noise control, bearing lubrication systems for longevity unaffected by compressed gas properties, and lip seals with specific gap settings to prevent premature wear. Vibration analysis is also crucial for assessing the service life of screw compressors. Therefore, with proper maintenance and monitoring based on these findings, a 300kW screw compressor can potentially have a long and efficient operational lifespan in industrial applications.