Bibliographies thématiques / Reduction of noise

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Littérature scientifique sur le sujet « Reduction of noise »

Auteur : Grafiati

Publié le 9 novembre 2024

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Reduction of noise"

Farshi, Taymaz Rahkar. "Image Noise Reduction Method Based on Compatibility with Adjacent Pixels." International Journal of Image and Graphics 17, no. 03 (2017): 1750014. http://dx.doi.org/10.1142/s0219467817500140.

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This paper proposes an efficient noise reduction method for gray and color images that are contaminated by salt-and-pepper noise. In the proposed method, the pixels that are more compatible with adjacent pixels are replaced with target (noisy) pixels. The algorithm is applied on noisy Lena and Mansion images that are contaminated by salt-and-pepper noise with 0.1 and 0.2 noise intensities. Although this method is developed for reducing noise from the images that are contaminated by salt-and-pepper noise, it can also reduce the noise from the images that are contaminated by other types of noise

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C, Shraddha, Chayadevi M L, Anusuya M A, and Vani H Y. "Enhancing Noise Reduction with Bionic Wavelet and Adaptive Filtering." Inteligencia Artificial 27, no. 74 (2024): 214–26. http://dx.doi.org/10.4114/intartif.vol27iss74pp214-226.

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Speech signals often contain different forms of background and environmental noise. For the development of an efficient speech recognition system, it is essential to preprocess noisy speech signals to reduce the impact of these disturbances. Notably, prior research has paid limited attention to pink and babble noises. This gap in knowledge inspired us to develop and implement hybrid algorithms tailored to handle these specific noise types. We introduce a hybrid method that combines the Bionic Wavelet transform with Adaptive Filtering to enhance signal strength. The performance of this method i

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Pradeep, M. Patil, A.S Soumyashree, Subhramanya Chaitanaya A.K, and K. Harish. "Audio Noise Reduction Using Spectral Subtraction." Advancement and Research in Instrumentation Engineering 7, no. 3 (2024): 87–97. https://doi.org/10.5281/zenodo.13789207.

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<em>Spectral subtraction is used in this research as a method to remove noise from noisy speech signals by operating in the frequency domain. This method leverages the distinct spectral characteristics of noise and the desired audio signal to attenuate unwanted noise while preserving the integrity of the original content and consists of computing the spectrum of the noisy speech using the Fast Fourier Transform (FFT) and subtracting the average magnitude of the noise spectrum from the noisy speech spectrum. We applied spectral subtraction to the speech signal “Real graph”. A digita

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Miura, Grant. "Noise reduction." Nature Chemical Biology 16, no. 2 (2020): 106. http://dx.doi.org/10.1038/s41589-020-0464-6.

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TAI, CHENG-CHI, CHIH-HSING CHANG, CHUAN-CHING TAN, TSUNG-WEN HUANG, and CHING-CHAU SU. "ADAPTIVE BEAMFORMER WITH COMBINATION OF SUBBAND FILTERING FOR HEARING-AID SYSTEMS BACKGROUND NOISE REDUCTION." Biomedical Engineering: Applications, Basis and Communications 14, no. 02 (2002): 55–66. http://dx.doi.org/10.4015/s1016237202000097.

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In this paper, we present a noise reduction technique for hearing-aid systems. The proposed algorithm adopted adaptive beamformer with combination of subband filtering technique. The structure of conventional hearing aids is relatively simple. They amplify ambient sounds that include speech signal as well as noise. Because noise and human speech signal are amplified at the same time, hearing-aid users can't clearly hear speech signal in noisy environment. The direction of sound can be used to discriminate speech signal from noise by combining adaptive noise canceller and adaptive beamformer. W

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Cherukuru, Pavani, and Mumtaz Begum Mustafa. "CNN-based noise reduction for multi-channel speech enhancement system with discrete wavelet transform (DWT) preprocessing." PeerJ Computer Science 10 (February 28, 2024): e1901. http://dx.doi.org/10.7717/peerj-cs.1901.

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Speech enhancement algorithms are applied in multiple levels of enhancement to improve the quality of speech signals under noisy environments known as multi-channel speech enhancement (MCSE) systems. Numerous existing algorithms are used to filter noise in speech enhancement systems, which are typically employed as a pre-processor to reduce noise and improve speech quality. They may, however, be limited in performing well under low signal-to-noise ratio (SNR) situations. The speech devices are exposed to all kinds of environmental noises which may go up to a high-level frequency of noises. The

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Sundarrajan, M., Mani Deepak Choudhry, J. Biju, S. Krishnakumar, and K. Rajeshkumar. "Enhancing Low-Light Medical Imaging through Deep Learning-Based Noise Reduction Techniques." Indian Journal Of Science And Technology 17, no. 34 (2024): 3567–79. http://dx.doi.org/10.17485/ijst/v17i34.2489.

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Background/ Objectives: Low-light medical imaging is highly challenging in clinical diagnostics due to increased noise levels that mask or obscure important anatomical details. In this respect, conventional noise reduction methods such as Gaussian filtering and median filtering usually lead to a trade-off between noise suppression and the preservation of important features in an image, thus resulting in poor-quality images. More advanced wavelet-based denoising and Non-Local Means methods exhibit superior noise reduction but remain computationally intensive and introduce artifacts. These chall

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Cao, Jiyuan, Yanwen Wang, Weixiong Zhu, and Yihe Zhang. "A Noise Reduction Algorithm for White Noise and Periodic Narrowband Interference Noise in Partial Discharge Signals." Applied Sciences 15, no. 4 (2025): 1760. https://doi.org/10.3390/app15041760.

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Partial discharge (PD) detection plays an important role in online condition monitoring of electrical equipment and power cables. However, the noise of PD measurement will significantly reduce the performance of the detection algorithm. In this paper, we focus on the study of a PD noise reduction algorithm based on improved singular value decomposition (SVD) and multivariate variational mode decomposition (MVMD) for white Gaussian noise (WGN) and periodic narrowband interference signal noise. The specific noise reduction algorithm is divided into three noise reduction processes: The first nois

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Zhang, Lu, Mingjiang Wang, Qiquan Zhang, and Ming Liu. "Environmental Attention-Guided Branchy Neural Network for Speech Enhancement." Applied Sciences 10, no. 3 (2020): 1167. http://dx.doi.org/10.3390/app10031167.

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The performance of speech enhancement algorithms can be further improved by considering the application scenarios of speech products. In this paper, we propose an attention-based branchy neural network framework by incorporating the prior environmental information for noise reduction. In the whole denoising framework, first, an environment classification network is trained to distinguish the noise type of each noisy speech frame. Guided by this classification network, the denoising network gradually learns respective noise reduction abilities in different branches. Unlike most deep neural netw

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Nurgul, Uzakkyzy, Ismailova Aisulu, Ayazbaev Talgatbek, et al. "Image noise reduction by deep learning methods." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 6 (2023): 6855–61. https://doi.org/10.11591/ijece.v13i6.pp6855-6861.

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Image noise reduction is an important task in the field of computer vision and image processing. Traditional noise filtering methods may be limited by their ability to preserve image details. The purpose of this work is to study and apply deep learning methods to reduce noise in images. The main tasks of noise reduction in images are the removal of Gaussian noise, salt and pepper noise, noise of lines and stripes, noise caused by compression, and noise caused by equipment defects. In this paper, such noises as the removal of raindrops, dust, and traces of snow on the images were considered. In

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Thèses sur le sujet "Reduction of noise"

Robert, Rene Jean. "Measuring noise level reduction using an artificial noise source." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54480.

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Buildings located near airports may be subjected to significant noise levels due to aircraft flyovers. Aircraft noise is particularly annoying when compared to other traffic noises due to its intermittent nature. While noise control is typically performed at the source, sound insulation programs are in place to improve the acoustic performance of a residence affected by the flyovers. Noise Level Reduction (NLR) is a common metric used in the United States to determine whether a residence qualifies for such programs. Sound insulation programs are available to houses that have an indoor Day Nigh

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Kalyoncu, Ozden. "Noise Reduction In Time-frequency Domain." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608768/index.pdf.

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In this thesis work, time-frequency filtering of nonstationary signals in noise using Wigner-Ville Distribution is investigated. Continuous-time, discrete-time and discrete Wigner Ville Distribution definitions, their relations, and properties are given. Time-Frequency Peak Filtering Method is presented. The effects of different parameters on the performance of the method are investigated, and the results are presented. Time-Varying Wiener Filter is presented. Using simulations it is shown that the performance of the filter is good at SNR levels down to -5 dB. It is proposed and shown that the

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Su, Hongjiang. "Shoeprint image noise reduction and retrieval." Thesis, Queen's University Belfast, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.486207.

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A shoeprint is a mark made when the sole of a shoe comes into contact with a surfice. People committing crimes inevitably leave their shoe marks at the crime scene. A study suggests that footwear impressions could be located and retrieved at approximately 35% of all crime scenes. More and more shoeprint images have been collected, leading to a few of shoeprint image databases. The constantly increasing of the size of these databases leads to a problem that it takes too much time to classify or retrieve them manually. In addition, when a shoeprint is actually being made, distortion, capture dev

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Bace, Matthew M. (Matthew Mark). "A receiver-compatible noise reduction system." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/116488.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1990.<br>Includes bibliographical references (leaves 111-113).<br>by Matthew M. Bace.<br>M.S.

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Read, Simon John. "Noise reduction technologies for open rotors." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608127.

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Haglund, Philip. "Noise reduction solutions for compact dishwasher." Thesis, KTH, Maskinkonstruktion (Inst.), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-157658.

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Electrolux are currently developing a new kind of compact dishwasher, distinctly different from conventional dishwashers. A key concern that emerged through the development process was noise. The sound was characterized as loud and annoying. The goal of this thesis was to develop a mechanical design solution that would guarantee a noise level below 55 dBA. Initial tests reaffirmed the concern regarding noise. Noise was prevalent and the sound pressure level ranging from 58,8 to 59,8 was considered intolerable. Tests were performed in an acoustic lab to determine vibration source and noise fact

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Gruber, M. "Airfoil noise reduction by edge treatments." Thesis, University of Southampton, 2012. https://eprints.soton.ac.uk/349012/.

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The general aim of this thesis is to investigate experimentally airfoil trailing edge noise reduction using various trailing edge geometries. The work presented in this thesis is part of the FP7 European Project FLOCON. This thesis focuses on sawtooth serrations and a detailed study is conducted in which thirty seven sawtooth trailing edges are tested for reducing the noise at various flow velocities and angles of attack. Broadband noise reductions of up to 5 dB are obtained below some critical frequency above which the noise is increased. The mechanisms by which the noise is changed in the pr

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Kaymak, Erkan. "Noise reduction and active noise control of high frequency narrow band dental drill noise." Thesis, Brunel University, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445923.

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Zheng, Haosheng, and Kaichun Zhang. "Noise Analysis of Computer Chassis and Secondary Sound Source Noise Reduction." Thesis, Blekinge Tekniska Högskola, Institutionen för maskinteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18547.

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This article focuses on computer noise analysis and noise reduction processing. With the popularity of computers, people are increasingly demanding the comfort of using computers. Solving the noise problem of the computer case can make the working environment more comfortable. People working in a noisy environment for a long time can cause anxiety and the quality of work is not high. The main purpose of this paper is to analyse the characteristics of computer noise and to reduce the noise of the chassis through the secondary sound source. Through the comparison of the experimental and simulati

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Lariviere, Jeffrey P. "Transform-domain echo cancellation and noise reduction." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0016/NQ57614.pdf.

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Livres sur le sujet "Reduction of noise"

Ingard, K. Uno. Noise reduction analysis. Infinity Science Press, 2010.

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Attenborough, K. Aircraft noise propagation, exposure & reduction. Spon Press, 2011.

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Cohen, Israel, Yiteng Huang, Jingdong Chen, and Jacob Benesty. Noise Reduction in Speech Processing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00296-0.

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Jansen, Maarten. Noise Reduction by Wavelet Thresholding. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0145-5.

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Center, NASA Glenn Research, ed. Fan noise reduction: An overview. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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Great Britain. Health and Safety Executive. and Great Britain. Foundries Industry Advisory Committee., eds. Noise reduction at foundry shakeouts. HSE Books, 1994.

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Envia, Edmane. Fan noise reduction: An overview. National Aeronautics and Space Administration, Glenn Research Center, 2001.

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Israel, Cohen. Noise Reduction in Speech Processing. Springer-Verlag Berlin Heidelberg, 2009.

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Kontos, K. B. Improved NASA-ANOPP noise prediction computer code for advanced subsonic propulsion systems. National Aeronautics and Space Administration, 1996.

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Kontos, K. B. Improved NASA-ANOPP noise prediction computer code for advanced subsonic propulsion systems. National Aeronautics and Space Administration, 1996.

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Chapitres de livres sur le sujet "Reduction of noise"

Wagner, Siegfried, Rainer Bareiß, and Gianfranco Guidati. "Noise Reduction." In Wind Turbine Noise. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-88710-9_8.

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Tischenko, Oleg, and Christoph Hoeschen. "Noise Reduction." In Imaging in Nuclear Medicine. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31415-5_8.

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Kovalevsky, Vladimir. "Noise Reduction." In Modern Algorithms for Image Processing. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4237-7_2.

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Sinambari, Gh Reza. "Noise Reduction." In Design Acoustics. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-40183-2_5.

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Huber, David Miles, and Robert E. Runstein. "Noise Reduction." In Modern Recording Techniques. Routledge, 2017. http://dx.doi.org/10.4324/9781315666952-16.

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Keller, Warren A. "Nonlinear Noise Reduction." In The Patrick Moore Practical Astronomy Series. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25682-5_15.

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Hegger, Rainer, Holger Kantz, and Thomas Schreiber. "Nonlinear Noise Reduction." In Modelling and Forecasting Financial Data. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0931-8_19.

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Hallas, Tony. "Noise Reduction Techniques." In Lessons from the Masters. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7834-8_8.

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Keller, Warren A. "Nonlinear Noise Reduction." In The Patrick Moore Practical Astronomy Series. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97689-1_15.

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Talbot-Smith, Michael. "Noise reduction (analogue)." In Broadcast Sound Technology. Routledge, 2023. http://dx.doi.org/10.4324/9781003460510-19.

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Actes de conférences sur le sujet "Reduction of noise"

Hema, R., S. Shivani, and M. Yuvarai. "Enhancing Underwater Acoustic Noise Reduction Method With Advanced Noise Reduction Techniques." In 2024 International Conference on Expert Clouds and Applications (ICOECA). IEEE, 2024. http://dx.doi.org/10.1109/icoeca62351.2024.00102.

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Roebben, Arnout, Toon Van Waterschoot, and Marc Moonen. "Cascaded Noise Reduction and Acoustic Echo Cancellation Based on an Extended Noise Reduction." In 2024 32nd European Signal Processing Conference (EUSIPCO). IEEE, 2024. http://dx.doi.org/10.23919/eusipco63174.2024.10714941.

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Bennouna, Saâd, Thibaud Matharan, and Olivier Cheriaux. "Automotive HVAC Noise Reduction." In 10th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. SAE International, 2018. http://dx.doi.org/10.4271/2018-01-1519.

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KRUGER, J., and P. LEISTNER. "EFFECTIVE NOISE REDUCTION WITH HYBRID SILENCERS." In Inter-Noise 1996. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/19497.

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OISHI, T., and Y. NAKAMURA. "NOISE REDUCTION OF MIXER-EJECTOR NOZZLE." In Inter-Noise 1996. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/19858.

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Chelidze, David. "Smooth Projective Nonlinear Noise Reduction." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13344.

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Many nonlinear or chaotic time series exhibit an innate broad spectrum, which makes noise reduction difficult. Locally projective noise reduction is one of the most effective tools. It is based on proper orthogonal decomposition (POD), and works for both map-like and continuously sampled time series. However, POD only looks at geometrical or topological properties of data and does not take into account the temporal characteristics of time series. Here we present a new smooth projective noise reduction method. It uses bundles of locally reconstructed trajectory strands and their smooth orthogon

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ROSENHOUSE, G., and J. SOKER. "NOISE REDUCTION IN SUBURBS BY SEQUENTIAL LOCATION OF TYPICAL ROAD AND PASSAGE ELEMENTS OF NOISE REDUCTION CAPACITIES." In Inter-Noise 1996. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/19423.

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Holzfuss, Joachim. "Active3 noise reduction." In Chaotic, fractal, and nonlinear signal processing. AIP, 1996. http://dx.doi.org/10.1063/1.51031.

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Balint, Agneta M., and Stefan Balint. "Aircraft noise reduction." In TIM14 PHYSICS CONFERENCE - PHYSICS WITHOUT FRONTIERS. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4937253.

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McLean, I. "Telecine noise reduction." In IEE Seminar Digital Restoration of Film and Video Archives. IEE, 2001. http://dx.doi.org/10.1049/ic:20010022.

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Rapports d'organisations sur le sujet "Reduction of noise"

Lauchle, G. C., and S. Park. Sensor Flow-Induced Self Noise Reduction. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada408916.

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Harley, Thomas R., F. D. Shields, and James E. Hendrix. Digital Active Noise Reduction Ear Plugs. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada388005.

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Kodres, C. A. Jet Engine Test Cell Noise Reduction. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada380948.

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Truong, Vuong, James Chafouleas, Thomas Mosdal, Sophia Bragdon, Megan Bishop, and Jay Clausen. Thermography conversion for optimal noise reduction. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49414.

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Computer vision applications in terms of raw thermal radiance are limited by byte size. Normalizing the raw imagery reduces functional complexities that could otherwise aide a computer processing algorithm. This work explores a method to normalize 16-bit signed integer (I16) into unsigned 8-bit (U8) while maintaining the integrity of the correlation coefficients between the raw data sets and the environmental parameters that affects thermal anomaly detectability.

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Rohatgi, Upendra, and Michael Furey. Drag and Noise Reduction for Road Vehicles. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1083749.

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Russotti, Joseph S., Robert P. Jackman, Thomas P. Santoro, and Deborah D. White. Noise Reduction Stethoscope for United States Navy Application. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada390349.

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Cohen, Z. Noise Reduction with Microphone Arrays for Speaker Identification. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1034487.

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Houtsma, Adrianus J. Noise and Reverberation Reduction in Post Chapel Activity Room. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada491523.

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Cox, Cary, and Richard Lewis. Noise Reduction Methods for Detecting Impulses in Seismic Data. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada327963.

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Albert, Sarah, and Michael Fleigle. Noise Reduction Capability of the Trampoline Fabric Wind Dome. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2430343.

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