scispace - formally typeset
Search or ask a question

Is there noise cancellation in boat rockerz 510? 

Answers from top 9 papers

More filters
Papers (9)Insight
Unlike many existing methodologies, our approach provides for the exact volumetric cancellation of unwanted noise in a given predetermined region of space while leaving unaltered those components of the total acoustic field that are deemed friendly.
Proceedings ArticleDOI
Hsiang-Feng Chi, Shawn X. Gao, S.D. Soli 
30 May 1999
16 Citations
Utilizing the characteristics of the feedback oscillation, the algorithm provides better cancellation efficiency, convergence behavior and, hence, better output sound quality than the widely-used wideband feedback cancellation schemes.
Computer simulation results show that the combination of the feedback and feedforward stages provides a fairly good acoustic feedback cancellation, while the secondary path estimation method performs fairly well, providing both a fairly good noise cancellation performance.
Proceedings ArticleDOI
Rafik Goubran, R. Herbert, H.M. Hafez 
06 May 1990
40 Citations
Analysis reveals that there is a high correlation between the acoustic noise in the area facing the driver's seat and the noise in other locations in the car, which suggests the possibility of using the two-microphones noise cancellation approach.
The volumetric noise cancellation offered by the proposed methodology along with leaving the wanted sound unchanged is a unique feature compared to other techniques available in the literature.
The outcomes from extensive experimentations show that the proposed PSO based acoustic noise cancellation method provides high performance in terms of SNR improvements with a satisfactory convergence rate in comparison to that obtained by some of the state-of-the-art methods.
In the present paper, we show the effectiveness of using Adaptive Noise Cancellation techniques, in enhancing the vibration signal which is corrupted with noise in the low frequency spectrum.
The analysis and results on proposed technique for noise cancellation shows promising performance.
Thus, they demonstrate that the FNTF is an efficient scheme for acoustic echo cancellation in mobile radio.

Related Questions

What are the most innovative sound reduction technologies?5 answersAcoustic metamaterials have emerged as innovative solutions for noise reduction, particularly in controlling low-frequency noise that conventional materials struggle to mitigate. These metamaterials, which are lightweight and compact, effectively control sound waves and can be optimized for specific applications based on new physical phenomena. Another innovative technology is the use of flow-permeable trailing-edge extensions, which have been successfully applied to wind turbine blade sections, resulting in significant noise reduction. NASA has also made significant progress in reducing noise from turbofan engines, with changes to engine cycle parameters and low noise design features contributing to noise reduction. Additionally, new technologies such as chevron nozzles and Ultra-High Bypass (UHB) engines are projected to provide substantial noise reduction in aircraft. These technologies address various components of the aircraft, including fans, exhaust nozzles, landing gear, and flap systems.
What is noise cancellation\?3 answersNoise cancellation refers to the process of reducing or eliminating unwanted sounds from an audio signal. It involves the use of various techniques and devices to counteract the effects of noise and improve the overall sound quality. One approach is to generate an inverted signal that cancels out the ambient noise when combined with the original audio signal. Another method involves measuring the distance between the noise source and the listener, and generating anti-noise signals based on this information. Additionally, noise cancellation devices may utilize different transfer functions to process the digital signal and generate a noise cancellation signal. Some systems employ multiple noise filters with adjustable gain factors to compensate for different leakage conditions and improve noise cancellation performance. Furthermore, parameter initialization and estimation units can be used to select and apply appropriate gains for noise cancellation based on reference signals.
How to activate noise cancellation in boat Airdopes?14 answers
How to activate noise cancellation in boat rockerz 235v2?9 answers
How to cancel background noise in boat rockerz 255?5 answers
Is there noise cancellation in Airdopes 131?6 answers

See what other people are reading

How do bone vibration censors work?
5 answers
Bone vibration sensors work by utilizing various technologies to transmit vibrations to the bone structure, enabling sound perception. One approach involves a bone conduction vibrator that synchronizes vibrations produced by a laser beam with sound, transmitting them to auricular cartilage. Another method includes a bone-conduction transducer (BCT) attached to a support structure, where vibrations from the BCT are transmitted to the bone structure through contact with the wearer. Additionally, a bone drilling device for orthopedic surgery utilizes vibration drilling technology to reduce heat generation during cutting processes, enhancing drilling precision through the rigidity effect of the drill bit caused by vibration drilling. These technologies demonstrate how bone vibration sensors can effectively transmit vibrations for sound perception and surgical precision.
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?
5 answers
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.
How to improve modeling resiliance with artifical noise in neural networks?
5 answers
To enhance modeling resilience in neural networks using artificial noise, a novel noise injection-based training scheme has been proposed. This method involves estimating gradients for both synaptic weights and noise levels during stochastic gradient descent training, optimizing noise levels alongside synaptic weights. By incorporating noise into the network, the model's robustness against adversarial attacks can be significantly improved, as demonstrated in experiments on MNIST and Fashion-MNIST datasets. Additionally, a method has been introduced to reduce label error rates and improve dataset quality by addressing noise condensity issues through a statistical probability-based label flipping process, enhancing the overall performance of neural network models trained on corrected datasets. These approaches collectively contribute to fortifying neural network models against various forms of noise and improving their overall resilience.
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.
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.
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.
How to find complexity of Deep convolutional encoder-decoder for extraction of ecg signal ?
5 answers
The complexity of Deep Convolutional Encoder-Decoder (DeepCED) networks for ECG signal extraction involves utilizing advanced frameworks to remove noise and extract fetal ECG signals accurately. These networks employ deep learning models with innovative architectures, such as dual attention mechanisms and bidirectional LSTM layers, to effectively handle the challenges posed by low-amplitude FECG signals and noise interference. By incorporating techniques like nonlinear adaptive noise cancelling and temporal convolutional networks, these frameworks can successfully extract fetal ECG signals from mixed ECG recordings, demonstrating high performance in terms of F1-score, mean-square-error, and signal-to-noise ratio. The application of DeepCED networks in denoising ECG signals showcases superior noise reduction capabilities and detail preservation compared to traditional methods, making them promising tools for biomedical signal processing.