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Improvement in background noise acceptance could lead to improved hearing-aid success.
Open accessProceedings ArticleDOI
05 Dec 2008
50 Citations
The experimental results demonstrate that the proposed approach can remove noise automatically and effectively.
The experimental results indicate that the proposed method can effectively remove both low- and high-frequency noise
Assuming these noises to be uncorrelated at independently suspended hydrophones and with the ocean ambient noise of interest, it is possible to remove their influence from the result of the ambient noise measurement.
The background noise may be produced by the sea ambient noise or the self-noise of the sonar platform.
Proceedings ArticleDOI
Zhixun Su, Hui Wang, Junjie Cao 
26 Jun 2009
29 Citations
The presented method is simple, stable and able to effectively remove large noise.
The results from this study suggest multiple effects of background noise on the central auditory processing of toddlers.
One mitigating factor in the presence of background noise is earphone type.
Therefore, it is possible to successfully identify and remove the remaining noise.
The result shows that annoyance responses in low background noise regions are much higher than those in high background noise regions, even though aircraft noise levels are the same.

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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.
Am Radio Kit Reciever?
4 answers
An AM radio receiver kit typically includes essential components like front-end circuits for signal conversion, RF amplifiers, mixers, bandpass filters, and detectors for noise elimination. These kits may incorporate integrated circuits (ICs) with built-in amplifiers and filters to enhance performance and reduce noise interference. The tuning circuit in such receivers consists of tuning coils and variable capacitance diodes, while local oscillator circuits generate oscillation signals for frequency mixing. Double superheterodyne AM radio receivers utilize multiple intermediate frequencies and mixer circuits to detect audio signals effectively, often integrating ICs for efficient signal processing. Overall, an AM radio receiver kit combines various circuits and components to facilitate the reception and demodulation of AM radio signals for audio output.
How ambulatory blood pressure monitor absorb noise compared to OBPM?
5 answers
Ambulatory blood pressure monitors (ABPM) utilize various noise absorption techniques compared to oscillometric blood pressure monitors (OBPM). ABPM devices, such as those described in Context_1 and Context_2, employ advanced signal processing methods to filter out background noise effectively. For instance, ABPM systems incorporate high-pass and low-pass filters to enhance signal quality and reduce noise interference. Additionally, ABPM devices, like the one in Context_4, analyze noise signals based on specific waveform parameters to identify Korotkoff noises, which are crucial for accurate blood pressure calculation. These noise absorption mechanisms in ABPM devices contribute to more reliable and precise blood pressure measurements compared to traditional OBPM devices.
Can non-stationarity be effectively addressed through preprocessing techniques in ECMs?
5 answers
Non-stationarity in ECMs can be effectively addressed through preprocessing techniques. Various methods exist to handle non-stationarity, such as the Causal-Origin REPresentation (COREP) algorithm, which focuses on tracing the causal origin of non-stationarity to enhance policy learning. Additionally, in the context of time series prediction, suitable transformation methods for non-stationary time series have shown significant improvements in prediction accuracy, with some methods providing over 30% enhancements in half of the evaluated time series. These preprocessing techniques play a crucial role in mitigating the challenges posed by non-stationarity in ECMs, ensuring more accurate and reliable modeling and prediction outcomes.
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.
What are the effects of refrigerant charge amount on the vibration and noise of refrigeration systems?
5 answers
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.
How do changes in the concentration of signaling molecules affect the stochastic behavior of cellular processes?
5 answers
Changes in the concentration of signaling molecules can significantly impact the stochastic behavior of cellular processes. The presence of molecular noise in signaling networks can lead to deviant effects, altering the average behavior of biological systems. Additionally, fluctuations in the concentration of active signaling molecules due to deactivation processes during signal transduction can introduce spatio-temporal variations, especially in asymmetric cellular architectures. Stochastic fluctuations in cellular reactions, particularly in small systems like cells, can generate fluctuations in the number of molecules, affecting signal amplification and accuracy in cellular processes such as chemotaxis. Furthermore, the stochastic nature of biochemical processes in whole-cell biochips can result in a low signal-to-noise ratio, impacting the detectability of signals and leading to relatively large noise disturbances during information extraction from cells.
Why use gaussian noise in cGAN model?
5 answers
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?
5 answers
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?
5 answers
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.
Why sound localization is important?
4 answers
Sound localization is crucial for communication, learning, and safety. It enables individuals to accurately determine the direction of a sound source by utilizing cues like interaural time difference, interaural level difference, and spectral cues. However, factors like noise, reverberation, and hearing loss can distort these cues, impacting localization performance negatively. Various hearing devices, including hearing aids, bone-anchored instruments, and cochlear implants, present unique challenges in preserving these localization cues. Studies on animals, such as dogs, have also highlighted the significance of sound localization abilities, emphasizing the need for reliable assessment methods to understand spatial auditory acuity. Overall, sound localization plays a vital role in everyday communication, aiding in tasks like separating talkers and obtaining visual speech information.