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The sound filter proposed herein may provide a promising facility to control low frequency noise source with tonal characteristics.
The filter can be applied iteratively to effectively reduce heavy noise.
As a way to improve the signal to noise ratio, we also propose to filter the out-of-band noise in the receiver.
The experiment results show that the signal-to-noise ratio (SNR) of the system can be effectively improved by using such a noise filter in the system.
Open accessProceedings ArticleDOI
16 May 2015
14 Citations
These aspects can be used to filter out the noise and achieve more relevant results.
The first program can readily be modified so as to derive auditory filter shapes from data obtained with other types of maskers, such as rippled noise.
Proceedings ArticleDOI
Nam Trung Pham, Weimin Huang, Sim Heng Ong 
29 Sep 2007
18 Citations
Because the CPHD filter can handle a large amount of clutter measurements, our method has a high reliability when tracking multiple speakers.
The experimental results show that the proposed filter worked well and could attenuate the noise with high effectiveness.
Moreover, when interference noise is present at the microphones, the filter may also amplify the noise.
The results validate that the MPP absorber is effective to reduce audible noise of the filter capacitors.

Related Questions

How to make water filter?5 answersTo make a water filter, there are several methods described in the provided abstracts. One method involves preparing household water filters using low-cost materials such as kaolin powder and palm fronds powder. Another method involves manufacturing a molded filter body by forming a layer of support mixed with a template and then forming water passage holes by removing the template. A different method includes preparing a water treatment filter material by ball milling clay, river silt, sludge, and quartz sand balls, followed by mixing with sesames and water, granulation, drying, and carbonization. Another method involves using a water purifying material layer with activated carbon and macromolecular water purifying material in a barrel. Lastly, a method for producing an iron-containing filter material includes reacting a trivalent iron compound and a base, washing the iron hydroxide from the salt, and inserting the panel into containers for refrigeration.
What is DSP Filter in Optical?5 answersDigital Signal Processing (DSP) filters are used in optical communication systems to process and manipulate optical signals. DSP enables the implementation of various algorithms and functions in optical transceivers, such as equalization, synchronization, and error correction. These filters can be implemented using analog-to-digital converters (ADCs) and application-specific integrated circuits (ASICs). DSP filters can be employed in Digital Filter Multiple Access (DFMA) Passive Optical Networks (PONs), where they enable dynamic sharing of the transmission medium among multiple optical network units (ONUs). The design of these filters involves tradeoffs between upstream transmission capacity, filter design flexibility, and DSP complexity. DSP filters can also be used for linear optical signal processing functions, such as analog and digital spectrum conversion, format conversion, logic gates, and clock recovery. Theoretical analysis and numerical simulations are used to optimize the performance of these filters for different applications.
What are Filterbubble?4 answersFilter bubbles refer to the phenomenon where Internet customization isolates individuals from diverse opinions or materials, resulting in their exposure to only a select set of content. This can reinforce existing attitudes, beliefs, or conditions. Research by Areeb et al. and Berthaut and Knibbe explores the impact of filter bubbles in recommender systems. They uncover the reasons behind this problem, highlight biases that contribute to their existence, and propose mechanisms to mitigate their impact. They also suggest that incorporating diversity into recommendations can help alleviate this issue. Wang et al. present Snoogle, a search engine for a wireless object network, which uses information retrieval techniques and compression schemes to reduce communication overhead. Stokes and Crawford describe a gas filter or cleaner that uses liquid spray or mist to clean gas.
What can you do to filtered rainwater?5 answersFiltered rainwater can be used for various purposes. It can be used for drinking purposes as a sustainable and economically efficient alternative in regions with a lack of drinkable water. Additionally, filtered rainwater can be reused for irrigation purposes, such as watering green belts, by pumping it to a drain pipe located above the green belt. Furthermore, filtered rainwater can be used for cooling and heating systems in houses, as well as for decreasing energy consumption, by reusing it through an underground thermostat layer. Overall, filtered rainwater provides a valuable resource that can be utilized for drinking, irrigation, and energy-saving purposes.
How to filter high frequency noise?4 answersA noise filter for high frequency noise can be achieved using a structure that includes a series connection of a first core inductor, an air-core inductor, and a second core inductor. The first and second core inductors should have high frequency-energy absorbing members inserted into them, while the air-core inductor does not require such a member. The high frequency-energy absorbing members can be made of materials like iron oxide, tin alloy, or ferrite. Another approach is to use a thin-plate or sheet-like structure with a magnetic substance having a large magnetic loss component of complex permeability in a high-frequency region, along with parallel conductor electrodes. These methods help attenuate noise in the frequency band of interest and reduce electromagnetic interference.
How do you reduce earphone noise?4 answers

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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?
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.
How is data transmitted wirelessly from a metering module?
5 answers
Data is wirelessly transmitted from a metering module through various methods outlined in the research papers. The wireless transmission systems involve components like sensors, transmitters, receivers, and processors to facilitate data transfer. These systems utilize technologies such as NB-IoT, radio frequency communication, and WiFi modules to enable seamless data transmission. For instance, the use of radio frequency transmit-receive chips, front-end modules, and antennas in the wireless communication module ensures effective communication within specific frequency bands. Additionally, the incorporation of filtering modules helps reduce signal interference during data transmission, enhancing the overall reliability of the wireless data transfer process. The Sub-1GHz wireless modules play a crucial role in automatically collecting metering data and transmitting it to designated receivers.
How is smart meter data transmitted wirelessly from a metering module?
5 answers
Smart meter data is transmitted wirelessly through various methods. One approach involves using a system with meter transducers, a transmitter unit, a receiver unit, and a computer, where the transmitter unit wirelessly connects to sensors in the building and then transmits data to a remote receiving unit or a mobile data converter for computer connection. Another method utilizes a WIFI-based intelligent meter data acquisition module, which processes electrical signals through filters, converts them into pulse signals, and then transmits power information via a WIFI module. Additionally, a LoRaWAN-based system enables smart meters to send data to a network server through a mobile network, which then forwards it to an M2M platform, establishing an efficient wireless remote metering infrastructure.
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.
How sharpening and predictive coding differ?
5 answers
Sharpening and predictive coding differ in their approaches and applications. Sharpening, as described in Context_4, involves enhancing high-frequency details in pictures by applying a sharpening filter to base layer reference pictures in Scalable High Efficiency Video Coding (SHVC). This process aims to reduce residuals between the source and predicted pictures, leading to improved compression rates. On the other hand, predictive coding, as discussed in Context_1 and Context_5, focuses on generating accurate and sharp future frames in video encoding. It involves a model that combines bottom-up and top-down information flows to enhance interactions between network levels, ensuring clear and natural frame generation. While sharpening is more specific to enhancing image details for compression efficiency, predictive coding is broader, aiming to generate high-quality frames for video applications.
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.