scispace - formally typeset
Search or ask a question

Answers from top 10 papers

More filters
Papers (10)Insight
The noise metrics which are noise figure and noise conductance show significant reduction for NJLFET justifying its noise immunity.
Proceedings ArticleDOI
Dimitri Papamoschou, Salvador Mayoral 
11 May 2009
33 Citations
Thus, the compaction and/or redistribution of the noise source are essential for effective jet noise shielding on the HWB.
Furthermore, the NFB-FxLMS shows very good effect on nonstationary noise.
The model yields a good description of experimental data from noise measurements.
This noise is comparable to or larger than that of the state-of-the-art MOSFETs.
The high quality of noise measurements is established through good agreement of spectra obtained with a blow-down jet, for a wide range of nozzle conditions.
As a result, the proposed method obtains a good performance in most of the different types of noise.
The results show good agreement with low-frequency noise measurements reported in literature.
LO noise is in addition to LO jitter, which should be combined with noise analysis to give a complete picture.
The results obtained from the proposed model are in good agreement with the experimentally measured noise performance and giving better response as compared to that of classical noise model.

See what other people are reading

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 cmos sensor works?
5 answers
A CMOS sensor operates by converting light into electrical signals through a pixel structure containing a photodetector, a nonlinear resistance, and a transfer MOS transistor. This sensor can sense various environmental factors like pressure, humidity, and acceleration using a dual quantization capacitance-to-digital converter structure. Additionally, a CMOS-MEMS integrated humidity sensor combines a CMOS ASIC reading-out circuit with a MEMS humidity sensor for stable operation under varying conditions. In a stacked CMOS image sensor, multiple semiconductor chips are interconnected through metal-insulator-metal capacitors, enhancing functionality and connectivity. Furthermore, a method for operating a pixel array in a CMOS image sensor involves generating voltage signals and performing readout operations at specific times to capture and process image data effectively.
How is 3D printing cost-effective?
4 answers
3D printing is cost-effective due to various factors outlined in the provided contexts. The cost-effectiveness of 3D printing is achieved through the utilization of entry-level and commercially available print technologies, which enable the creation of cost-effective models for training purposes. Additionally, the combination of fused deposition modeling (FDM) with debinding-sintering processes in metal 3D printing helps reduce costs associated with traditional metal additive manufacturing techniques. Furthermore, the development of a protocol for creating cost-effective 3D models of intra-abdominal cavities for liver transplantation demonstrates the time and cost savings achieved through 3D printing technology. By optimizing printing parameters and utilizing affordable materials and technologies, 3D printing offers a cost-effective solution for various applications in industries such as healthcare, training, and product development.
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.
Variations of wall roughness and different geometric shapes of the nozzle in a turbulent wall jet?
5 answers
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.
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.