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Relevant bibliographies by topics / Noise

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Academic literature on the topic 'Noise'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Noise"

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Yang, Ren Di, and Yan Li Zhang. "Denoising of ECG Signal Based on Empirical Mode Decomposition and Adaptive Noise Cancellation." Applied Mechanics and Materials 40-41 (November 2010): 140–45. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.140.

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To remove the noises in ECG and to overcome the disadvantage of the denoising method only based on empirical mode decomposition (EMD), a combination of EMD and adaptive noise cancellation is introduced in this paper. The noisy ECG signals are firstly decomposed into intrinsic mode functions (IMFs) by EMD. Then the IMFs corresponding to noises are used to reconstruct signal. The reconstructed signal as the reference input of adaptive noise cancellation and the noisy ECG as the basic input, the de-noised ECG signal is obtained after adaptive filtering. The de-noised ECG has high signal-to-noise

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S. Ashwin, J., and N. Manoharan. "Audio Denoising Based on Short Time Fourier Transform." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 1 (2018): 89. http://dx.doi.org/10.11591/ijeecs.v9.i1.pp89-92.

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<p>This paper presents a novel audio de-noising scheme in a given speech signal. The recovery of original from the communication channel without any noise is a difficult task. Many de-noising techniques have been proposed for the removal of noises from a digital signal. In this paper, an audio de-noising technique based on Short Time Fourier Transform (STFT) is implemented. The proposed architecture uses a novel approach to estimate environmental noise from speech adaptively. Here original speech signals are given as input signal. Using AWGN, noises are added to the signal. Then noised s

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J.S., Ashwin, and Manoharan N. "Audio Denoising Based on Short Time Fourier Transform." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 1 (2018): 89–92. https://doi.org/10.11591/ijeecs.v9.i1.pp89-92.

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This paper presents a novel audio de-noising scheme in a given speech signal. The recovery of original from the communication channel without any noise is a difficult task. Many de-noising techniques have been proposed for the removal of noises from a digital signal. In this paper, an audio denoising technique based on Short Time Fourier Transform (STFT) is implemented. The proposed architecture uses a novel approach to estimate environmental noise from speech adaptively. Here original speech signals are given as input signal. Using AWGN, noises are added to the signal. Then noised signals are

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Li, Yongsong, Zhengzhou Li, Kai Wei, Weiqi Xiong, Jiangpeng Yu, and Bo Qi. "Noise Estimation for Image Sensor Based on Local Entropy and Median Absolute Deviation." Sensors 19, no. 2 (2019): 339. http://dx.doi.org/10.3390/s19020339.

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Noise estimation for image sensor is a key technique in many image pre-processing applications such as blind de-noising. The existing noise estimation methods for additive white Gaussian noise (AWGN) and Poisson-Gaussian noise (PGN) may underestimate or overestimate the noise level in the situation of a heavy textured scene image. To cope with this problem, a novel homogenous block-based noise estimation method is proposed to calculate these noises in this paper. Initially, the noisy image is transformed into the map of local gray statistic entropy (LGSE), and the weakly textured image blocks

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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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Lin, Tingting, Xiaokang Yao, Sijia Yu, and Yang Zhang. "Electromagnetic Noise Suppression of Magnetic Resonance Sounding Combined with Data Acquisition and Multi-Frame Spectral Subtraction in the Frequency Domain." Electronics 9, no. 8 (2020): 1254. http://dx.doi.org/10.3390/electronics9081254.

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As an advanced groundwater detection method, magnetic resonance sounding (MRS) has received more and more attention. However, the biggest challenge is that MRS measurements always suffer with a bad signal-to-noise ratio (SNR). Aiming at the problem of noise interference in MRS measurement, we propose a novel noise-suppression approach based on the combination of data acquisition and multi-frame spectral subtraction (DA-MFSS). The pure ambient noise from the measurement area is first collected by the receiving coil, and then the noisy MRS signal is recorded following the pulse moments transmitt

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Lingamaiah Kurva, Naga, and S. Varadarajan. "Dual tree complex wavelet transform based image denoising for Kalpana satellite images." International Journal of Engineering & Technology 7, no. 3.29 (2018): 269. http://dx.doi.org/10.14419/ijet.v7i3.29.18810.

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This paper presents a new algorithm to reduce the noise from Kalpana Satellite Images using Dual Tree Complex Wavelet Transform technique. Satellite Images are not simple photographs; they are pictorial representation of measured data. Interpretation of noisy raw data leads to wrong estimation of geophysical parameters such as precipitation, cloud information etc., hence there is a need to improve the raw data by reducing the noise for better analysis. The satellite images are normally affected by various noises. This paper mainly concentrates on reducing the Gaussian noise, Poisson noise and

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Wang, Runjie, Wenzhong Shi, Xianglei Liu, and Zhiyuan Li. "An Adaptive Cutoff Frequency Selection Approach for Fast Fourier Transform Method and Its Application into Short-Term Traffic Flow Forecasting." ISPRS International Journal of Geo-Information 9, no. 12 (2020): 731. http://dx.doi.org/10.3390/ijgi9120731.

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Historical measurements are usually used to build assimilation models in sequential data assimilation (S-DA) systems. However, they are always disturbed by local noises. Simultaneously, the accuracy of assimilation model construction and assimilation forecasting results will be affected. The fast Fourier transform (FFT) method can be used to acquire de-noised historical traffic flow measurements to reduce the influence of local noises on constructed assimilation models and improve the accuracy of assimilation results. In the practical signal de-noising applications, the FFT method is commonly

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Oh, Soo Hee, and Kyoungwon Lee. "Aircraft Noise of Airport Community in Korea." Audiology and Speech Research 16, no. 1 (2020): 1–10. http://dx.doi.org/10.21848/asr.200001.

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Aircraft noise is one of the serious environmental noises with the increased use of flight traffic. The purpose of this study is to understand aircraft noise levels of airport communities in Korea using baseline data for audiologic management. Aircraft noise levels were retrieved from the National Noise Information System every month between 2004 and 2018. We reviewed aircraft noise levels obtained from total of 111 airport communities across 14 airports. In order to understand aircraft noise levels of civil and military airports, the aircraft noise levels measured in civil and military airpor

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Zhang, Jiangbo, and Yiyi Zhao. "The Robust Consensus of a Noisy Deffuant-Weisbuch Model." Mathematical Problems in Engineering 2018 (December 30, 2018): 1–10. http://dx.doi.org/10.1155/2018/1065451.

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We construct a new opinion formation of the Deffuant-Weisbuch model with the interference of the outer noise, where there are finite n agents and the evolution is discrete-time. The opinion interaction occurs by one randomly chosen pair at each time step. The difference to the original Deffuant-Weisbuch model is that communications of any selected pairs will be affected by noises. The aim of this paper is to study the robust consensus of this noisy Deffuant-Weisbuch model. We first define the noise strength as the maximum noise absolute value. We will then show that when the noise strength is

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Dissertations / Theses on the topic "Noise"

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NAKAGAWA, Seiichi, Souta HAMAGUCHI, and Norihide KITAOKA. "Noisy Speech Recognition Based on Integration/Selection of Multiple Noise Suppression Methods Using Noise GMMs." Institute of Electronics, Information and Communication Engineers, 2008. http://hdl.handle.net/2237/14965.

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Gisel, Christoph. "Noise pod : the need for urban noise." Thesis, Konstfack, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:konstfack:diva-25.

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This project is about the thought that urban noise is more needed than we may think. A lot of people can be really disturbed and upset about a noisy environment surrounding them. I want to show with this noise pod, a space where you can sit/lay while listening to everyday urban noise compositions, that noise can be really relaxing and enjoyable. Relaxation does not only come from the right choice of noise at the right time it also depends on the environment that you enjoy the soundscape in. This pod - a small capsule of space - is a place to sit by yourself, choose a noise composition and list

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Klein, Achim. "Annoyance indicators for various urban road vehicle pass-by noises and urban road traffic noise combined with tramway noise." Thesis, Vaulx-en-Velin, Ecole nationale des travaux publics, 2015. http://www.theses.fr/2015ENTP0002/document.

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La pollution sonore est un problème majeur pour les résidents des zones urbaines. La directive Européenne 2002/49/CE impose aux états membres l’établissement de cartes de bruit. Ces dernières sont construites sur la base de l’indice énergétique Lden, également utilisé dans les relations dose-effet établies pour prédire la gêne. Toutefois, pour l’évaluation de la gêne due au bruit dans les zones urbaines, la pertinence de cet indice est souvent remise en question. En effet, de nombreuses études ont montré que les caractéristiques temporelles et spectrales des bruits environnementaux influencent

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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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Reschikoff, S. E. "Advanced Noise Generator Method of Flicker Noise Measurement." Thesis, Sumy State University, 2015. http://essuir.sumdu.edu.ua/handle/123456789/40983.

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Noise of electronic devices can be measured by comparison using a noise source at input and an output noise meter. It is noise generator method. It can be used to easily obtaining equivalent input noise of semiconductor devices. But this method is usually recommended for higher frequencies, because measurement generator must give white noise. Besides this, we obtain only noise level at broad band.

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Cochachin, Henostroza Franklin Rafael. "Noise-against-Noise Decoders : Low Precision Iterative Decoders." Thesis, Lorient, 2019. http://www.theses.fr/2019LORIS527.

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Dans cette thèse, deux décodeurs améliorés sont définis en utilisant un canal d’entrée quantifié avec seulement 3 ou 4 bits de précision pour les codes low-density parity-check (LDPC). Un algorithme de post-traitement pour les décodeurs itératifs de faible précision est également proposé. L'un des décodeurs proposés, appelé décodeur Noise-Against-Noise Min-Sum (NAN- MS), intègre une certaine quantité de perturbations aléatoires dues à une injection délibérée de bruit. L'autre des décodeurs proposés, appelé décodeur Sign-Preserving Min-Sum (SP-MS), conserve toujours le signe des messages et uti

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Johnston, Adam Michael. "Noise Exposure System for Noise-Induced Hearing Loss." OpenSIUC, 2012. https://opensiuc.lib.siu.edu/theses/794.

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There is an estimated 10 million Americans that suffer from permanent, irreversible hearing loss from their workplace. Many soldiers come back from battle with this damage, mainly from the high sound levels of their weapons that they are exposed to. The U.S. government spends over $250 million a year in compensation to those whose hearing has been damaged. There are current medicines that have proven to help eliminate or lessen the affects from certain types of noise induced hearing loss, specifically from prolonged expose. A noise exposure system was needed to be built for impulse noise induc

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Gualandi, Nicola <1978&gt. "Aircraft noise performance evaluation and airport noise management." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amsdottorato.unibo.it/1356/1/Gualandi_Nicola_Aircraft_noise_performance_evaluation_and_airport_noise_management.pdf.

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Gualandi, Nicola <1978&gt. "Aircraft noise performance evaluation and airport noise management." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amsdottorato.unibo.it/1356/.

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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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Books on the topic "Noise"

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ill, James Kennon, ed. Noise! noise! noise! Advance Pub., 2003.

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illustrator, James Kennon, ed. Noise! noise! noise! Advance Publishing, Inc., 2014.

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ill, Martin Bruce, and Waterford Institute, eds. Noise? What noise? Electronic Education, 2001.

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ill, James Kennon, ed. Noise! noise! noise! =: Ruido! Ruido! Ruido! Advance, 2008.

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Kudyahakudadirwe, Christopher. The big noise and other noises. Mwanaka Media and Publishing, 2018.

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Cowley, Joy. Noise. Wright Group, 1996.

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Project, Nuffield Working with Science. Noise. Published for the Nuffield-Chelsea Curriculum Trust by Longman Resources Unit, 1986.

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Rosenberg, M. R. Noise. Redfoxpress, 2012.

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Jones, Alex. Noise. Nick Hern Books, 1997.

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Russell, Smith. Noise. Porcupine's Quill, 1998.

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Book chapters on the topic "Noise"

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McMullan, R. "Noise." In Environmental Science in Building. Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-22169-1_10.

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Elsner, James B., and Anastasios A. Tsonis. "Noise." In Singular Spectrum Analysis. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2514-8_6.

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Rouan, Daniel. "Noise." In Encyclopedia of Astrobiology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11274-4_1068.

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Tremblay, Pierre. "Noise Music Information Retrieval." In Noise in and as Music. University of Huddersfield Press, 2013. http://dx.doi.org/10.5920/noise.05.

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Yuan, Fei, Panpan Xun, Wei Wang, and Shibin Su. "Bearing Fault Diagnosis Based on Auto-Encoder Combined with CNN." In Fuzzy Systems and Data Mining IX. IOS Press, 2023. http://dx.doi.org/10.3233/faia231039.

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To address the problem that traditional bearing fault diagnosis methods rely on professional knowledge and are tedious, this paper proposes an end-to-end CNN-based bearing fault diagnosis model to achieve automatic fault recognition. In addition, considering the problem that noise exists in the actual working conditions, a bearing fault diagnosis model based on Auto-encoder (AE) combined with CNN is proposed (AE-CNN). The noisy signal is coded and decoded by the designed AE, and the de-noised result is used as the input of the designed CNN to achieve the bearing fault diagnosis under noisy con

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Yeang, Chen-Pang. "Spread-Spectrum Communication." In Transforming Noise. Oxford University PressOxford, 2023. http://dx.doi.org/10.1093/oso/9780198887768.003.0013.

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Abstract One of the first applications of the wartime and postwar informational studies of noise was the spread-spectrum technology that scrambled transmitted signals in a communication system for encryptive or antijamming purposes. These scrambled signals effectively “rode on” a noisy carrier. But how to generate a sufficiently noisy carrier and how to synchronize the transmitter and receiver in noise modulation became central problems. In chapter 13, we examine Mortimer Rogoff’s invention of a “noise wheel” at the International Telephone and Telegraph (ITT) Company and MIT Lincoln Laboratori

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Thigpen, Benjamin, and Peter Ablinger. "Black Square and Bottle Rack: noise and noises." In Noise in and as Music. University of Huddersfield Press, 2013. http://dx.doi.org/10.5920/noise.01.

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Whitehead, James. "Un-sounding Music: noise is not sound." In Noise in and as Music. University of Huddersfield Press, 2013. http://dx.doi.org/10.5920/noise.02.

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Cassidy, Aaron. "Noise and the Voice: ex0ploring the thresholds of vocal transgression." In Noise in and as Music. University of Huddersfield Press, 2013. http://dx.doi.org/10.5920/noise.03.

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Ratkje, Maja. "Subtractive Synthesis: noise and digital (un)creativity." In Noise in and as Music. University of Huddersfield Press, 2013. http://dx.doi.org/10.5920/noise.04.

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Conference papers on the topic "Noise"

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Gammaitoni, L., F. Cottone, I. Neri, H. Vocca, Massimo Macucci, and Giovanni Basso. "Noise Harvesting." In NOISE AND FLUCTUATIONS: 20th International Conference on Noice and Fluctuations (ICNF-2009). AIP, 2009. http://dx.doi.org/10.1063/1.3140558.

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KOMORI, Masato, Yasuo MIURA, Masato MIKAMI, and Naoya KOJIMA. "19 Separation of Combustion Noise using Transient Noise Generation Model." In Small Engine Technology Conference & Exposition. Society of Automotive Engineers of Japan, 2002. http://dx.doi.org/10.4271/2002-32-1788.

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<div class="htmlview paragraph">In a running engine, various impacts are excitation sources for structural vibrations and engine noises. Engine noises are classified, depending on their excitation sources, into the combustion noise, the combustion induced mechanical noise and the mechanical noise. It is difficult to measure such noises separately because some impacts occur closely in time and space. In this paper, a transient noise generation model of an engine was proposed considering vibration and its damping of engine structure. The present model was verified through the single explos

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Xu, Cai, Yilin Zhang, Ziyu Guan, and Wei Zhao. "Trusted Multi-view Learning with Label Noise." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/582.

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Multi-view learning methods often focus on improving decision accuracy while neglecting the decision uncertainty, which significantly restricts their applications in safety-critical applications. To address this issue, researchers propose trusted multi-view methods that learn the class distribution for each instance, enabling the estimation of classification probabilities and uncertainty. However, these methods heavily rely on high-quality ground-truth labels. This motivates us to delve into a new generalized trusted multi-view learning problem: how to develop a reliable multi-view learning mo

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Lin, Huangxing, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, and Yizhou Yu. "Noise2Grad: Extract Image Noise to Denoise." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/115.

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In many image denoising tasks, the difficulty of collecting noisy/clean image pairs limits the application of supervised CNNs. We consider such a case in which paired data and noise statistics are not accessible, but unpaired noisy and clean images are easy to collect. To form the necessary supervision, our strategy is to extract the noise from the noisy image to synthesize new data. To ease the interference of the image background, we use a noise removal module to aid noise extraction. The noise removal module first roughly removes noise from the noisy image, which is equivalent to excluding

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Chen, Hao, Pramod K. Varshney, and James H. Michels. "Denosing Noisy Images with Noise." In 2007 41st Asilomar conference on Signals, Systems and Computers (ACSSC). IEEE, 2007. http://dx.doi.org/10.1109/acssc.2007.4487265.

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Cannatà, G., G. Scandurra, C. Ciofi, Massimo Macucci, and Giovanni Basso. "A Very Simple Low Noise Voltage Preamplifier For High Sensitivity Noise Measurements." In NOISE AND FLUCTUATIONS: 20th International Conference on Noice and Fluctuations (ICNF-2009). AIP, 2009. http://dx.doi.org/10.1063/1.3140546.

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Vaks, V. L., A. N. Panin, S. I. Pripolzin, et al. "Analysis Of Noise Characteristics And Noise Generation In SubTHz And THz Frequency Ranges." In NOISE AND FLUCTUATIONS: 20th International Conference on Noice and Fluctuations (ICNF-2009). AIP, 2009. http://dx.doi.org/10.1063/1.3140438.

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Xu, Yu-Yan, Yang Shen, Xiu-Shen Wei, and Jian Yang. "Webly-Supervised Fine-Grained Recognition with Partial Label Learning." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/209.

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The task of webly-supervised fine-grained recognition is to boost recognition accuracy of classifying subordinate categories (e.g., different bird species) by utilizing freely available but noisy web data. As the label noises significantly hurt the network training, it is desirable to distinguish and eliminate noisy images. In this paper, we propose two strategies, i.e., open-set noise removal and closed-set noise correction, to both remove such two kinds of web noises w.r.t. fine-grained recognition. Specifically, for open-set noise removal, we utilize a pre-trained deep model to perform deep

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M, Jeba Jenitha, Kani Jesintha D, and Mahalakshmi P. "Noise Adaptive Fuzzy Switching Median Filters for Removing Gaussian Noise." In The International Conference on scientific innovations in Science, Technology, and Management. International Journal of Advanced Trends in Engineering and Management, 2023. http://dx.doi.org/10.59544/ozsc7243/ngcesi23p113.

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Recently, in all image processing systems, image restoration plays a major role and it forms the major part of image processing systems. Medical images such as brain Magnetic Resonance Imaging (MRI), ultrasound images of liver and kidney, retinal images and images of uterus images are often affected by various types of noises such as Gaussian noise and salt and pepper noise. All image restoration techniques attempts to remove various types of noises. This paper deals with various filters namely Mean Filter, Averaging Filter, Median Filter, Adaptive Median Filter, Adaptive Weighted Median Filte

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BJORKMAN, M., and R. RYLANDER. "MAXIMUM NOISE LEVELS IN ROAD TRAFFIC NOISE." In Inter-Noise 1996. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/19605.

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Reports on the topic "Noise"

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Deryabin, I. V. Noise-absorbing panel with bypass channels. FORGING AND STAMPING PRODUCTION. MATERIAL WORKING BY PRESSURE, 2023. http://dx.doi.org/10.12731/kshpomd62023-deryabin.

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Noise, having a harmful effect on humans and the environment, forces us to search and conduct research on the development of new methods and means of noise protection. Currently, with an increasing increase in the flow of vehicles in residential areas, with the development of industrial production, the issue of noise control is becoming particularly relevant. A well-known and effective technical solution for blocking the transmission of acoustic energy is the use of noise-absorbing panels, both as part of various soundproof structures, and in the form of separate acoustic elements installed in

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Doerry, Armin W. Noise and Noise Figure for Radar Receivers. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1562649.

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Mendel, Brock, and Andrei Shleifer. Chasing Noise. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w16042.

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Dow, James, and Gary Gorton. Noise Traders. National Bureau of Economic Research, 2006. http://dx.doi.org/10.3386/w12256.

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Jay. L51710 Active Noise Silencing. Pipeline Research Council International, Inc. (PRCI), 1994. http://dx.doi.org/10.55274/r0010333.

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Many natural gas compressor stations which were previously located away from residential areas are now being encroached upon by surrounding building developments. Furthermore, an increased awareness of community noise issues has proved to be the impetus for investigating and developing more effective noise control methods and treatments for natural gas compressor facilities. This project investigates the feasibility of applying Active Noise Cancellation (ANC) to the exhaust of a large, internal-combustion reciprocating type engine. Large reciprocating internal combustion engines pose significa

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Kuperman, W. A., and W. S. Hodgkiss. Tow-Ship Noise. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada438454.

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Arrieta, Rudy, Connie Minish, Donal Myrick, and Larry McGlothlin. Residual Noise Environment. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada406626.

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Ventura, John C. Reactor Noise Analysis,. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada299061.

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DEPARTMENT OF DEFENSE WASHINGTON DC. DoD Noise Program. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada574286.

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Andersson, Andres, and Michael Ladd. Fluidic Noise Shield. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada385559.

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