Relevant bibliographies by topics / Additive impulse noise

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Additive impulse noise'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Additive impulse noise"

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Bekkiev, A. Yu, and V. A. Makoviy. "Impulse Noise Parameter Assessment in a Batch Radio Channel." Russian Technological Journal 7, no. 3 (2019): 28–40. http://dx.doi.org/10.32362/2500-316x-2019-7-3-28-40.

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Modern radio communication means to provide safe data transmission due to adapting radio channel to the actual noise environment. It is impossible to conduct proper comparative tests on various radio stations offered by manufacturers and to compare objectively the results obtained in field without actual signal parameters and noise environment instrument inspection at the reception point. The paper considers tactical level radio communications system operation when jammed with powerful impulse noise of various nature. It suggests a device enabling to assess the main parameters of impulse noise
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ITOH, MAKOTO, TAO YANG, and LEON O. CHUA. "EXPERIMENTAL STUDY OF IMPULSIVE SYNCHRONIZATION OF CHAOTIC AND HYPERCHAOTIC CIRCUITS." International Journal of Bifurcation and Chaos 09, no. 07 (1999): 1393–424. http://dx.doi.org/10.1142/s0218127499000961.

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In this paper, experimental results on impulsive synchronization of two kinds of chaotic circuits; namely, Chua's oscillator and a hyperchaotic circuit, are presented. To impulsively synchronize two Chua's oscillators, synchronization impulses sampled from one state variable of the driving circuit are transmitted to the driven circuit. To impulsively synchronize two hyperchaotic circuits, synchronizing impulses sampled from two signals of the driving circuit are sent to the driven circuit. Our experimental results show that the accuracy of impulsive synchronization depends on both the period a
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Zhou, Yuqian, Jianbo Jiao, Haibin Huang, Jue Wang, and Thomas Huang. "Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 10085–86. http://dx.doi.org/10.1609/aaai.v33i01.330110085.

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Discriminative learning based denoising model trained with Additive White Gaussian Noise (AWGN) performs well on synthesized noise. However, realistic noise can be spatialvariant, signal-dependent and a mixture of complicated noises. In this paper, we explore multiple strategies for applying an AWGN-based denoiser to realistic noise. Specifically, we trained a deep network integrating noise estimating and denoiser with mixed Gaussian (AWGN) and Random Value Impulse Noise (RVIN). To adapt the model to realistic noises, we investigated multi-channel, multi-scale and super-resolution approaches.
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Yuan, Quan, Zhenyun Peng, Zhencheng Chen, Yanke Guo, Bin Yang, and Xiangyan Zeng. "Medical Image Denoising Algorithm Based on Sparse Nonlocal Regularized Weighted Coding and Low Rank Constraint." Scientific Programming 2021 (June 7, 2021): 1–6. http://dx.doi.org/10.1155/2021/7008406.

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Medical image information may be polluted by noise in the process of generation and transmission, which will seriously hinder the follow-up image processing and medical diagnosis. In medical images, there is a typical mixed noise composed of additive white Gaussian noise (AWGN) and impulse noise. In the conventional denoising methods, impulse noise is first removed, followed by the elimination of white Gaussian noise (WGN). However, it is difficult to separate the two kinds of noises completely in practical application. The existing denoising algorithm of weight coding based on sparse nonlocal
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Brekhna, Brekhna, Arif Mahmood, and Yuanfeng Zhou. "Robustness analysis of superpixel algorithms to image blur, additive Gaussian noise, and impulse noise." Journal of Electronic Imaging 26, no. 06 (2017): 1. http://dx.doi.org/10.1117/1.jei.26.6.061604.

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Drobakhin, O. O., and O. V. Olevskyi. "Approaches for improvement of reliability of the Prony’s method computation." Journal of Physics: Conference Series 2675, no. 1 (2023): 012028. http://dx.doi.org/10.1088/1742-6596/2675/1/012028.

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Abstract Parametric spectral analysis methods such as the Prony’s method can estimate the frequencies and amplitudes of a signal, conforming to their model, with great precision. At the same time, the addition of noise to the signal can lead to a complete model breakdown which leads to erroneous parameter values. This is especially true for the impulse noise. The article explores several possible algorithms which can be applied to the Prony’s method in order to refine the results and make them more noise resistant. Such algorithms include signal segmentation methods where the results of each s
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Zhou, Yuqian, Jianbo Jiao, Haibin Huang, et al. "When AWGN-Based Denoiser Meets Real Noises." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 13074–81. http://dx.doi.org/10.1609/aaai.v34i07.7009.

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Discriminative learning based image denoisers have achieved promising performance on synthetic noises such as Additive White Gaussian Noise (AWGN). The synthetic noises adopted in most previous work are pixel-independent, but real noises are mostly spatially/channel-correlated and spatially/channel-variant. This domain gap yields unsatisfied performance on images with real noises if the model is only trained with AWGN. In this paper, we propose a novel approach to boost the performance of a real image denoiser which is trained only with synthetic pixel-independent noise data dominated by AWGN.
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Singh, Satya P., and Shabana Urooj. "Localized Radon Polar Harmonic Transform (LRPHT) Based Rotation Invariant Analysis of Textured Images." International Journal of System Dynamics Applications 4, no. 2 (2015): 21–41. http://dx.doi.org/10.4018/ijsda.2015040102.

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In this paper, the authors propose a method to analyze and capture the information from texture regardless their geometric deformation. Input image is transformed to radon space and multiresolution is achieved within the radon space using Gaussian derivative wavelet. The transformed image is applied to the polar harmonic transform (PHT). The proposed method is tested against additive Gaussian noise and impulse noise with different rotations. A k- nearest neighbor classifier is employed to classify the texture. To test and evaluate correct classification percentage of the method, several sets o
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SU, LIYUN, and RUIHUA LIU. "BLIND IMAGE RESTORATION WITH MODIFIED CMA." International Journal of Image and Graphics 11, no. 03 (2011): 403–13. http://dx.doi.org/10.1142/s0219467811004147.

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In this paper, a new blind restoration scheme for blurred noisy image is proposed. The blurred noisy image is assumed to be the output of a linear space-invariant (LSI) system with an unknown point spread function (PSF) contaminated by an additive noise. The scheme passes the blurred noisy image through a two-dimensional (2D) finite impulse response filter whose parameters are updated by the modified constant modulus algorithm (CMA) with averaging and variable step size adaptive filter. When convergence occurs, the output of the filter is an estimate of the unobserved true image. Simulation an
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Aarti and Gaurav Pushkarna. "Comparative Study of Image Denoising Algorithms in Digital Image Processing." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 04 (2014): 788–92. https://doi.org/10.5281/zenodo.14742479.

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This paper proposes a basic scheme for understanding the fundamentals of digital image processing and the image denising algorithm. There are three basic operation categorized on during image processing i.e. image rectification and restoration, enhancement and information extraction. Image denoising is the basic problem in digital image processing. The main task is to make the image free from Noise. Salt & pepper (Impulse) noise and the additive white Gaussian noise and blurredness are the types of noise that occur during transmission and capturing. For denoising the image there are some a
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Dissertations / Theses on the topic "Additive impulse noise"

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Авраменко, Віктор Васильович, Виктор Васильевич Авраменко, Viktor Vasylovych Avramenko, and К. Salnik. "Recognition of fragments of standard images at low light level and the presence of additive impulsive noise." Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/55739.

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On the basis of integral disproportion function of the first-order the algorithm recognizing fragments of standards is created. It works in low light image that is analyzed and the presence of additive impulse noise. This algorithm permits to fin an appropriate pixel in one of several standards for each pixel of the image.
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Novotný, František. "Analýza a modelování přeslechů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220322.

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The thesis concerns the problem of interference modelling for xDSL technologies and Ethernet. The introduction describes the origin of crosstalk, that arise during the operation of the systems and the physical properties of the lines, therefore, the next section describes the properties of the primary and secondary parameters of the homogenous line and their modelling. In order to achieve higher data rates on the metallic line, systems with larger frequency spectrum are applied, resulting in a greater attenuation of the line. This issue and the characteristics determination of the transmission
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Čermák, Josef. "Modelování rušení pro xDSL." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217281.

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This work is focused on the subject of the interference modelling for xDSL technologies. First, the xDSL technologies are explained. Following is the presentation and description of the different kinds of the xDSL technologies. The next part deals with the basic parameters of metallic cable lines – especially the primary and secondary parameters. Nowadays wider bandwidths are used for the achievement of higher data transmission rates. During a higher frequency signal transmission a more intensive line attenuation appears. To identify the transfer characteristics of the lines while using an xDS
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Book chapters on the topic "Additive impulse noise"

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Li Xiao-Fei, He Di, and Chen Xiao-Hua. "PMDA-Schemed EM Channel Estimator for OFDM Systems." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-722-1-267.

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Channel estimation is a challenging problem in an Orthogonal frequency division multiplexing (OFDM) system, where is met with frequency-selective Rayleigh fading. The Poor man's Data Augmentation (PMDA) estimator is proposed to efficiently estimate the channel impulse response (CIR) making use of multipath fading channels with additive white Gaussian noise (AWGN). A modest number of pilot tones is used to efficiently improve the channel estimation by the use of the PMDA estimator to obtain the initial estimation for the iterative procedure. Using Cramer-Rao-like-lower (CRLB) estimator as the u
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Qendro, F., B. Benoist, R. Lengellé, and P. Gaillard. "EDDY CURRENT NDT SIGNAL TO NOISE RATIO ENHANCEMENT VIA ESTIMATION OF IMPULSIVE SIGNALS IN BAND LIMITED STATIONARY ADDITIVE NOISE." In Non-Destructive Testing. Elsevier, 1989. http://dx.doi.org/10.1016/b978-0-444-87450-4.50172-7.

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Conference papers on the topic "Additive impulse noise"

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Sharma, Sanjeev, Vimal Bhatia, and Anubha Gupta. "Sparsity based UWB receiver design in additive impulse noise channels." In 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2016. http://dx.doi.org/10.1109/spawc.2016.7536788.

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Batenkov, K. A. "DIGITAL COMMUNICATION LINE MODEL WITH ADDITIVE WHITE AND IMPULSE NOISE." In V International Scientific and Technical Conference "Radio Engineering, Electronics and Communication". Omsk Scientific-Research Institute of Instrument Engineering, 2019. http://dx.doi.org/10.33286/978-5-6041917-2-9.229-235.

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Divya Jothi, D., P. Geetha, and S. Anna Durai. "An integrated fuzzy additive and impulse noise reduction method for color images." In 2008 5th International Multi-Conference on Systems, Signals and Devices. IEEE, 2008. http://dx.doi.org/10.1109/ssd.2008.4632823.

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Bilgen, Mehmet, and Hsien-Sen Hung. "Application of neural network to restoration of signals degraded by a stochastic, shift-variant impulse response function and additive noise." In San Diego, '91, San Diego, CA, edited by Su-Shing Chen. SPIE, 1991. http://dx.doi.org/10.1117/12.48384.

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Generalova, Elena A., Olga M. Sagaydachnaya, and Alexandr N. Shmykov. "Results of application of adapted finite impulse response filter for deep seismic data quality improvement." In Недропользование. Горное дело. Направления и технологии поиска, разведки и разработки месторождений полезных ископаемых. Экономика. Геоэкология. Федеральное государственное бюджетное учреждение науки Институт нефтегазовой геологии и геофизики им. А.А. Трофимука Сибирского отделения Российской академии наук, 2020. http://dx.doi.org/10.18303/b978-5-4262-0102-6-2020-036.

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Deep seismic sounding data of earth’s crust explorations are complicated by intensive additive noise consist of man–caused multiplex wave compositions. Therefore intense interfering effect embarrass to detect and trace the target waves. Authors made a suggestion of application of adaptive finite impulse response filter in order to enhance wave field resolution. This article describes the results of spectral analysis of seismic data are derived from deep seismic sounding on the geological–geophysical survey 8–DV.
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Abd-Alaziz, Wael, Martin Johnston, and Stephane Le Goff. "Non-binary turbo codes on additive impulsive noise channels." In 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). IEEE, 2016. http://dx.doi.org/10.1109/csndsp.2016.7574024.

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Sakai, Hiroyuki, Yuichi Honda, Shun Osawa, Guo Honghu, Akihiro Takezawa, and Kazuo Ichikawa. "Research on Reduction of Piston Vibration by Providing Granular Dampers Inside the Lattice Structure." In Noise and Vibration Conference & Exhibition. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-1149.

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<div class="section abstract"><div class="htmlview paragraph">A high compression ratio is an effective means for improving the thermal efficiency of an internal combustion engines. However, a high compression ratio leads to a rapid rise in the combustion pressure, as it causes a high impulse force. The impulse force generates vibrations and noise by spreading in the engine. Therefore, reducing the vibration of the combustion (which increases as the compression ratio increases) can improve the thermal efficiency while using the same technology.</div><div class="htmlview par
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Sheikh-Hosseini, Mohsen, and Somayeh Ahmadi. "Performance analysis of OFDM and GFDM techniques over additive white impulsive noise channels." In 2022 6th International Conference on Millimeter-Wave and Terahertz Technologies (MMWaTT). IEEE, 2022. http://dx.doi.org/10.1109/mmwatt58022.2022.10172127.

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Colen, Guilherme Ribeiro, Lucas Giroto de Oliveira, A. J. Han Vinck, and Moises Vidal Ribeiro. "Resource allocation in OFDM-based PLC systems impaired by additive impulsive Gaussian noise." In 2016 International Symposium on Power Line Communications and its Applications (ISPLC). IEEE, 2016. http://dx.doi.org/10.1109/isplc.2016.7476277.

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Lozynskyy, Andriy, Igor Romanyshyn, Bohdan Rusyn, and Volodymyr Minialo. "Robust Approach to Estimation of the Intensity of Noisy Signal with Additive Uncorrelated Impulse Interference." In 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP). IEEE, 2018. http://dx.doi.org/10.1109/dsmp.2018.8478625.

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