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Journal articles on the topic 'Electronic systems – Noise'

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1

Adomavičius, Paulius. "INVESTIGATION OF NOISE IN ELECTRONIC ULTRASONIC SYSTEMS." Mokslas - Lietuvos ateitis 2, no. 1 (February 28, 2010): 40–44. http://dx.doi.org/10.3846/mla.2010.009.

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Noise models in ultrasonic control system have been investigated. Ultrasonic system channel consist of exciting generator, ultrasonic transducer, amplitude limiter, amplifier, low band filter and A/D converter. The ultrasonic transducers have been described as Von Hippel model, Van Dyke model or improved Van Dyke model. Advantages and disadvantages of these models are discussed in this paper. Noise models of amplitude limiter and linear operational amplifier are presented. The summary results of calculated noise spectral density of ultrasonic system channel have been presented.
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2

Milburn, G. J., and He BI Sun. "Classical and quantum noise in electronic systems." Contemporary Physics 39, no. 1 (February 1998): 67–79. http://dx.doi.org/10.1080/001075198182143.

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3

Osowski, Stanislaw, Krzysztof Siwek, and Tomasz Grzywacz. "Exploration of noisy data in differential electronic nose." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 35, no. 4 (July 4, 2016): 1382–92. http://dx.doi.org/10.1108/compel-08-2015-0279.

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Purpose – The paper is concerned with exploration of sensor signals in differential electronic nose. It is a special type of nose, which applies double sensor matrices and exploits only their differential signals, which are used in recognition of patterns associated with them. The purpose of this paper is to study the application of differential nose in dynamic measurement of aroma of 11 brands of cigarettes. Design/methodology/approach – The most important task in pattern recognition using electronic nose is its resistance to the noise corrupting the measurement. The authors will analyze and compare the performance of the nose in the noisy environment by applying two classifier systems: the support vector machine (SVM) and random forest (RF) of decision trees. Findings – On the basis of numerical experiments the authors have found that application of SVM as the classifier in the electronic nose is more advantageous than RF, especially at high level of noise and small number of measuring sensors. Its application allowed to recognize 11 brands of cigarettes with the accuracy close to 100 percent. Practical implications – Thanks to application of two identical sensors working in a differential mode the authors avoid the baseline estimation and thus the solution is well suited for on-line dynamic measurements of the process. Originality/value – The paper has studied the advantages and limitations of the differential electronic nose following from the existence of the noise, corrupting the measurements. It has pointed an important role of the applied classifier system in getting the electronic nose of the highest quality.
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4

Committee of Electronics. "Enhancement of Noise Immunity for Marine Electronic Systems." JOURNAL OF THE MARINE ENGINEERING SOCIETY IN JAPAN 25, no. 1 (1990): 51–60. http://dx.doi.org/10.5988/jime1966.25.51.

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5

Thompson, David L. "Electronic Systems Design Interference and Noise Control Techniques." Electronic Systems News 1988, no. 1 (1988): 28. http://dx.doi.org/10.1049/esn.1988.0011.

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6

Orlyanchik, V., V. I. Kozub, and Z. Ovadyahu. "Non-Gaussian conductance noise in disordered electronic systems." physica status solidi (c) 5, no. 3 (March 2008): 809–13. http://dx.doi.org/10.1002/pssc.200777577.

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7

Moir, T. J., and A. M. Pettigrew. "Inband noise cancelling in FM systems: the white noise case." Electronics Letters 28, no. 9 (1992): 814. http://dx.doi.org/10.1049/el:19920515.

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8

OGA, JURO. "General Remarks: Noise Reduction Technology for Electrical and Electronic Systems." Journal of the Institute of Electrical Engineers of Japan 123, no. 8 (2003): 499–500. http://dx.doi.org/10.1541/ieejjournal.123.499.

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9

Ching, H. M., J. D. Zhang, C. D. Beling, and S. Fung. "Electronic stability and noise reduction in Doppler broadening spectroscopy systems." Applied Surface Science 194, no. 1-4 (June 2002): 250–54. http://dx.doi.org/10.1016/s0169-4332(02)00126-5.

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10

Austin, B. A. "Book Review: Noise Reduction Technique in Electronic Systems 2nd Ed." International Journal of Electrical Engineering Education 27, no. 2 (April 1990): 190–91. http://dx.doi.org/10.1177/002072099002700235.

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11

Yaw-Shing Tang. "Noise autocorrelation in magnetic recording systems." IEEE Transactions on Magnetics 21, no. 5 (September 1985): 1389–91. http://dx.doi.org/10.1109/tmag.1985.1064052.

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12

Mallinson, J. C. "Thermal noise in linear damped systems." IEEE Transactions on Magnetics 38, no. 5 (September 2002): 3540–44. http://dx.doi.org/10.1109/tmag.2002.802704.

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13

Maqusi, M. "Noise Loading Analysis in FDM Systems." IEEE Transactions on Communications 33, no. 12 (1985): 1319–23. http://dx.doi.org/10.1109/tcom.1985.1096241.

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14

Andreas Abel, W. Schwarz, and M. Gotz. "Noise performance of chaotic communication systems." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 47, no. 12 (2000): 1726–32. http://dx.doi.org/10.1109/81.899925.

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15

Chen, Y., J. Zhang, and A. D. S. Jayalath. "Clipping noise compensation for OFDM systems." Electronics Letters 44, no. 25 (2008): 1490. http://dx.doi.org/10.1049/el:20082365.

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16

Miller, Andrew N. "Heating, ventilating, and air conditioning systems noise and electronic sound masking systems in buildings." Journal of the Acoustical Society of America 139, no. 4 (April 2016): 2057. http://dx.doi.org/10.1121/1.4950091.

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17

Jiang, Yi, Hong Zhou, Yuan Yuan Zu, and Xiao Chen. "Energy Based Dual-Microphone Electronic Speech Segregation." Applied Mechanics and Materials 385-386 (August 2013): 1381–84. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1381.

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Speech segregation based on energy has a good performance on dual-microphone electronic speech signal processing. The implication of the binary mask to an auditory mixture has been shown to yield substantial improvements in signal-to-noise-ratio (SNR) and intelligibility. To evaluate the performance of a binary mask based dual microphone speech enhancement algorithm, various spatial noise sources and reverberation test conditions are used. Two compare dual microphone systems based on energy difference and machine learning are used at the same time. Result with SNR and speech intelligibility show that more robust performance can be achieved than the two compare systems.
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18

Van Beneden, Steven, Jamal Riani, and Jan W. M. Bergmans. "Adaptive Decomposition of Noise Sources in Digital Recording Systems With Media Noise." IEEE Transactions on Magnetics 43, no. 2 (February 2007): 561–71. http://dx.doi.org/10.1109/tmag.2006.887874.

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19

Wasala, Sahan, Yutong Xue, Lon Stevens, Ted Wiegandt, and Tim Persoons. "Numerical simulations of flow induced noise from a dual rotor cooling fan used in electronic cooling systems." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 5 (August 1, 2021): 1308–19. http://dx.doi.org/10.3397/in-2021-1809.

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Hard Disk Drive (HDD) system enclosures in a data center require effective cooling systems to avoid HDD overheating. These systems often rely on air cooling because of their cost effciency and maintainability. Air cooling systems typically consist of an array of axial fans which push or pull the air through the system. These fans emit high level tonal noise particularly at high tip speed ratios. High-capacity HDDs, on the other hand, are sensitive to high acoustic noise, which consequently increases the risk of read/write error and deteriorates drive performance. Therefore, cooling fan noise adversely affects the function of the HDD enclosure systems which emphasizes the need to understand the noise sources and develop methods to mitigate HDD noise exposure.
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20

Minochkin, Anatolii, Andrii Shyshatskyi, Vitalii Hasan, Anatolii Hasan, Andrii Opalak, Anatolii Hlushko, Oleksandr Demchenko, Anna Lyashenko, Oksana Havryliuk, and Stanislav Ostapenko. "The improvement of method for the multi-criteria evaluation of the effectiveness of the control of the structure and parameters of interference protection of special-purpose radio communication systems." Technology audit and production reserves 4, no. 2(60) (July 31, 2021): 22–27. http://dx.doi.org/10.15587/2706-5448.2021.235465.

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Military radio communication systems are the basis of special purpose control systems and the object of the enemy’s primary influence. Therefore, the issue of increasing the noise immunity of military radio communication systems is important and needs further research. Thus, the object of the research was chosen to be a military radio communication system. Maintaining a given level of noise immunity for military radio systems is one of the key issues in radio resource management, the effective management of which allows the use of the entire suitable frequency range for the transmission (reception) of electromagnetic energy by radio electronic devices. A number of works have been devoted to the ways search for increasing the noise immunity of military radio communication systems. One such way is to develop new (improve existing) approaches for assessing the effectiveness of military radio interference management. This work solves the problem of improving the method of multicriteria management effectiveness evaluation of the structure and parameters of the military radio systems noise protection. The scientific problem is solved by the devices of multicriteria estimation of the of noise protection level of the military radio communication system, graphic display of the executed and not executed tasks, the aggregation scheme of formation of the integrated estimation of noise protection. The research used scientific methods of analysis and synthesis, also the theory provisions of signal-code structures and the provisions of the complex technical systems theory. The peculiarity of the proposed improvement of the methodology is the multi-criteria assessment of the noise immunity level of the military radio communication system in the conditions of radio electronic conflict. The proposed technique allows: – to evaluate the effectiveness of noise protection management; – to substantiate the optimal configuration of the military radio communication system in solving the problems of noise protection management in the conditions of radio electronic conflict; – to identify the ways to increase noise immunity at the stage of operational management of the military radio communication system in the conditions of electronic conflict. The results of the research should be used in assessing the effectiveness of management of noise protection of military radio communication systems and determining the optimal structure and parameters of military radio systems.
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21

Orlov, P. E., A. V. Medvedev, V. R. Sharafutdinov, T. R. Gazizov, and A. V. Ubaichin. "Methods for increasing noise immunity of radio electronic systems with redundancy." Journal of Physics: Conference Series 1015 (May 2018): 052022. http://dx.doi.org/10.1088/1742-6596/1015/5/052022.

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22

Evangelou, S. N. "1/f noise and spectral singularities in strongly disordered electronic systems." Journal of Physics: Condensed Matter 2, no. 13 (April 2, 1990): 2953–64. http://dx.doi.org/10.1088/0953-8984/2/13/005.

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23

Wu, Shao Hua, Li Dong Du, Hao Yue Ping, Li Jun Guo, Zhan Zhao, De Yi Kong, and Zhen Fang. "Acoustic Noise Energy Scavenger with Noise Reduction Effect." Key Engineering Materials 609-610 (April 2014): 1339–42. http://dx.doi.org/10.4028/www.scientific.net/kem.609-610.1339.

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A kind of novel acoustic noise energy scavenger with additional function of noise reduction is introduced in this article. The device consists of energy harvesting membranes and silicon micro perforated panel (MPP) resonant structure. Both of them are all fabricated with silicon wafer in use of MEMS technology. The maximum output power of the energy scavenger is about 14.1μW/m2, the maximum open circuit voltage achieves 69.41mV, and the average noise absorption coefficient of the device is higher than 0.7 in the bandwidth of 1500Hz to 6000Hz. The energy collected by the device could be used for driving micro and nano electronic systems.
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24

Kumar, Dileep, Dezhan Tu, Naifu Zhu, Dibo Hou, and Hongjian Zhang. "In-Line Acoustic Device Inspection of Leakage in Water Distribution Pipes Based on Wavelet and Neural Network." Journal of Sensors 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/5789510.

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Traditionally permanent acoustic sensors leak detection techniques have been proven to be very effective in water distribution pipes. However, these methods need long distance deployment and proper position of sensors and cannot be implemented on underground pipelines. An inline-inspection acoustic device is developed which consists of acoustic sensors. The device will travel by the flow of water through the pipes which record all noise events and detect small leaks. However, it records all the noise events regarding background noises, but the time domain noisy acoustic signal cannot manifest complete features such as the leak flow rate which does not distinguish the leak signal and environmental disturbance. This paper presents an algorithm structure with the modularity of wavelet and neural network, which combines the capability of wavelet transform analyzing leakage signals and classification capability of artificial neural networks. This study validates that the time domain is not evident to the complete features regarding noisy leak signals and significance of selection of mother wavelet to extract the noise event features in water distribution pipes. The simulation consequences have shown that an appropriate mother wavelet has been selected and localized to extract the features of the signal with leak noise and background noise, and by neural network implementation, the method improves the classification performance of extracted features.
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25

OHIRA, IKUO. "Active Noise Control Headphones Using Analogue Systems." Journal of the Institute of Electrical Engineers of Japan 123, no. 8 (2003): 516–18. http://dx.doi.org/10.1541/ieejjournal.123.516.

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26

Terrovitis, M. T., K. S. Kundert, and R. G. Meyer. "Cyclostationary noise in radio-frequency communication systems." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 49, no. 11 (November 2002): 1666–71. http://dx.doi.org/10.1109/tcsi.2002.804534.

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27

Kagami, Shin, Akihiro Moriyoshi, and Ichiro Fukai. "Road noise barriers as sound radiation systems." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 74, no. 11 (1991): 49–57. http://dx.doi.org/10.1002/ecjc.4430741105.

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28

Tynynyka, A. N. "Reduction of noise and interference by rational selection of electronic components in lumped parameter channels at high speed data processing." Технология и конструирование в электронной аппаратуре, no. 3-4 (2019): 10–18. http://dx.doi.org/10.15222/tkea2019.3-4.10.

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When designing most electronic systems, the main focus is on the development of the devices themselves, while the problem of meeting the requirements for the interference protection usually take second place, which calls for a need in this particular study. The article is devoted to methods and rules for design of radio electronic devices, which reduce noise and interference. The author provides practical guidance in the issues of choosing components, installing cables and connectors, designing print nodes and interference filtering. The urgency of these tasks is caused by several principal reasons, i.e., the increase of the speed of semiconductor devices and electronic circuits in general, reducing the amplitudes of the working signals of digital devices, increasing effect of interconnects and cascade layouts on the stability and speed of electronic devices and systems, the complex, costly and time consuming process of finding and eliminating the causes of low noise immunity of electronic devices. With the speed growth and the layout density of the elements, ensuring the noise immunity of the electromagnetic interaction between different devices and systems becomes the most important task of designing the radio electronic systems in general. When designing any electronic circuit, additional resistive, inductive and capacitive parasitic parameters are inevitably introduced. This can critically affect the performance of the real-life design by lowering its speed and noise immunity, even leading to complete failure. Design and installation have a particularly strong influence on the operation of high-speed (high-frequency) circuits and devices. In such cases, system speed, noise immunity and electromagnetic compatibility become the main criteria for the quality of electronic design.
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29

Kassa, Wosen-Eshetu, Anne-Laure Billabert, Salim Faci, and Catherine Algani. "Simulation of heterodyne RoF systems based on 2 DFB lasers: application to an optical phase-locked loop design." International Journal of Microwave and Wireless Technologies 6, no. 2 (February 19, 2014): 207–11. http://dx.doi.org/10.1017/s1759078714000117.

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This paper presents a simulation approach of optical heterodyne systems by using the equivalent circuit representation of a distributed feedback laser (DFB) in the electrical domain. Since the electrical representation of the DFB laser is developed from the rate equations, its characteristics such as non-linearity, relative intensity noise (RIN), and phase noise can be predicted precisely for various biasing conditions. The model is integrated in a heterodyne radio over fiber (RoF) system where two DFB lasers are used to generate a millimeter-wave (mm-wave) signal. An optical phase-locked loop is also introduced to reduce the phase noise on the mm-wave signal. The optical phase noise contribution of individual lasers to the mm-wave signal is evaluated and compared with theoretical results. It is shown that the phase noise of the mm-wave is reduced considerably depending on the loop bandwidth and propagation delay. With the circuit simulation approach proposed, optical and mm-wave phase noises can be studied together with other circuit environments such as parasitic effects and driver circuits.
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30

Osowski, Stanisław, and Krzysztof Siwek. "Mining Data of Noisy Signal Patterns in Recognition of Gasoline Bio-Based Additives using Electronic Nose." Metrology and Measurement Systems 24, no. 1 (March 1, 2017): 27–44. http://dx.doi.org/10.1515/mms-2017-0015.

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Abstract The paper analyses the distorted data of an electronic nose in recognizing the gasoline bio-based additives. Different tools of data mining, such as the methods of data clustering, principal component analysis, wavelet transformation, support vector machine and random forest of decision trees are applied. A special stress is put on the robustness of signal processing systems to the noise distorting the registered sensor signals. A special denoising procedure based on application of discrete wavelet transformation has been proposed. This procedure enables to reduce the error rate of recognition in a significant way. The numerical results of experiments devoted to the recognition of different blends of gasoline have shown the superiority of support vector machine in a noisy environment of measurement.
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31

Rudolph, Matthias, and Fabrizio Bonani. "Low-frequency noise in nonlinear systems." IEEE Microwave Magazine 10, no. 1 (February 2009): 84–92. http://dx.doi.org/10.1109/mmm.2008.930678.

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32

Kolodiy, Z. A., and A. Z. Kolodiy. "Calculation of the noise level in electronic elements." Automatic Control and Computer Sciences 43, no. 4 (August 2009): 179–83. http://dx.doi.org/10.3103/s0146411609040026.

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33

Abdula, Reyah M., and Bahaa E. A. Saleh. "Noise in Pulsed Fibre Optical Communication Systems." Optica Acta: International Journal of Optics 33, no. 2 (February 1986): 103–26. http://dx.doi.org/10.1080/713821919.

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34

Noé, Reinhold. "kT/C Noise: Covariance Matrix Calculation of Instationary Noise in Time-Varying Systems." AEU - International Journal of Electronics and Communications 55, no. 2 (January 2001): 135–39. http://dx.doi.org/10.1078/1434-8411-00020.

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35

Shyshatskyi, Andrii, Vitalii Hasan, Anatolii Hasan, Serhii Kravchuk, Yuriy Shidlovsky, Andrii Opalak, Oleksandr Modlinskyi, Oleksii Kobylynskyi, Ihor Bezstrochnyi, and Yaroslav Onbinskyi. "Development of the method of structural-parametric synthesis of the subsystem of interference of special purpose radio communication systems." Technology audit and production reserves 3, no. 1(59) (June 30, 2021): 40–44. http://dx.doi.org/10.15587/2706-5448.2021.233852.

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The object of research is the military radio communication system. One of the most problematic areas in the management of military radio resources is the interference of military radio systems and facilities. A number of works have been devoted to the research of ways to increase the noise immunity of military radio communication systems and facilities. However, the known works contain some results of research by scientists aimed at increasing the noise immunity of military radio systems and facilities and do not have a comprehensive approach. In this article, the problem of developing a method of structural-parametric synthesis of the noise protection subsystem of special purpose radio communication systems is solved. The scientific problem is solved by formalizing the problem of structural-parametric synthesis of the noise protection subsystem of military radio communication systems, starting with its mathematical description and synthesis of the quantitative and qualitative structure of the noise protection subsystem. In the course of the research, the authors used the main provisions of the queuing theory, the theory of automation, the theory of complex technical systems and general scientific methods of cognition, namely analysis and synthesis. The novelty of this technique is the synthesis of the structure of the military radio system and the parameters of the radio system in the context of electronic conflict. This technique is multi-criteria, in which the parameters are different in importance. The basis of this technique is the principle of nonlinear scheme of A. Voronin compromises. This technique allows to: – to synthesize the structure of the radio communication system in the conditions of electronic conflict; – to determine the optimal number of radio communication devices to ensure management tasks in the conditions of electronic conflict; – to substantiate a set of mechanisms to increase the noise immunity of the noise protection subsystem in the conditions of electronic conflict. The results of the research should be used at the stage of planning and operational management of the structure and parameters of military radio communication systems.
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36

Dronavalli, S., and R. P. Jindal. "CMOS device noise considerations for terabit lightwave systems." IEEE Transactions on Electron Devices 53, no. 4 (April 2006): 623–30. http://dx.doi.org/10.1109/ted.2006.870570.

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37

Melnyk, V. G., P. I. Borschov, V. K. Beliaev, O. D. Vasylenko, and O. V. Slitskiy. "NCREASING IMMUNITY TO NOISE AND INDUSTRIAL INTERFERENCE OF HIGHLY SENSITIVE MEASURING CHANNELS OF THE SENSOR SYSTEMS." Tekhnichna Elektrodynamika 2021, no. 1 (January 14, 2021): 73–83. http://dx.doi.org/10.15407/techned2021.01.073.

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The article discusses the new construction principles of the highly sensitive and high-speed electronic channels for sensor measuring systems with parallel-sequential conversion of the dynamic informative signals of direct or alternating current in wide ranges of its amplitude and frequency. The possibilities of improving suppression of noise and the interferences on industrial power frequency with several methods of processing the obtained data shown analytically and experimentally. A prototype of a unified basic module of the measuring channel described, intended for the implementation of information-measuring systems for various purposes; its main characteristics are given. References 7, figures 14, table 1.
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38

Zhao, Hong-kang. "Shot noise in nano-electronic systems under the perturbation of ac fields." Frontiers of Physics in China 2, no. 1 (March 2007): 55–62. http://dx.doi.org/10.1007/s11467-007-0009-4.

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39

Yu, Guicai, Han Wang, and Wencai Du. "Cooperative Spectrum Sensing Algorithm to Overcome Noise Fluctuations Based on Energy Detection in Sensing Systems." Wireless Communications and Mobile Computing 2021 (March 31, 2021): 1–8. http://dx.doi.org/10.1155/2021/5516540.

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In sensing systems, nodes must be able to rapidly detect whether a signal from a primary transmitter is present in a certain spectrum. However, traditional energy-detection algorithms are poorly adapted to treating noisy signals. In this paper, we investigate how rapid energy detection and detection sensitivity are related to detection duration and average power fluctuation in noise. The results indicate that detection performance and detection sensitivity decrease quickly with increasing average power fluctuation in noise and are worse in situations with low signal-to-noise ratio. First, we present a dynamic threshold algorithm based on energy detection to suppress the influence of noise fluctuation and improve the sensing sensitivity. Then, we present a new energy-detection algorithm based on cooperation between nodes. Simulations show that the proposed scheme improves the resistance to average power fluctuation in noise for short detection timescales and provides sensitive detection that improves with increasing numbers of cooperative detectors. In other words, the proposed scheme enhances the ability to overcome noise and improves spectrum sensing performance.
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40

Akhtar, M. T., M. Abe, and M. Kawamata. "Noise power scheduling in active noise control systems with online secondary path modeling." IEICE Electronics Express 4, no. 2 (2007): 66–71. http://dx.doi.org/10.1587/elex.4.66.

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41

Karakuş, Oktay, Ercan E. Kuruoğlu, and Mustafa A. Altınkaya. "Modelling impulsive noise in indoor powerline communication systems." Signal, Image and Video Processing 14, no. 8 (June 4, 2020): 1655–61. http://dx.doi.org/10.1007/s11760-020-01708-1.

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Abstract Powerline communication (PLC) is an emerging technology that has an important role in smart grid systems. Due to making use of existing transmission lines for communication purposes, PLC systems are subject to various noise effects. Among those, the most challenging one is the impulsive noise compared to the background and narrowband noise. In this paper, we present a comparative study on modelling the impulsive noise amplitude in indoor PLC systems by utilising several impulsive distributions. In particular, as candidate distributions, we use the symmetric $$\alpha $$ α -Stable (S$$\alpha $$ α S), generalised Gaussian, Bernoulli Gaussian and Student’s t distribution families as well as the Middleton Class A distribution, which dominates the literature as the impulsive noise model for PLC systems. Real indoor PLC system noise measurements are investigated for the simulation studies, which show that the S$$\alpha $$ α S distribution achieves the best modelling success when compared to the other families in terms of the statistical error criteria, especially for the tail characteristics of the measured data sets.
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42

Schimansky-Geier, L., and Ch Z�licke. "Harmonic noise: Effect on bistable systems." Zeitschrift f�r Physik B Condensed Matter 79, no. 3 (October 1990): 451–60. http://dx.doi.org/10.1007/bf01437657.

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43

H'walisz, L., P. Jung, P. H�nggi, P. Talkner, and L. Schimansky-Geier. "Colored noise driven systems with inertia." Zeitschrift f�r Physik B Condensed Matter 77, no. 3 (October 1989): 471–83. http://dx.doi.org/10.1007/bf01453798.

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44

Reibold, R. "Weak-noise in nondissipative periodic systems." Zeitschrift f�r Physik B Condensed Matter 62, no. 3 (September 1986): 397–406. http://dx.doi.org/10.1007/bf01313463.

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45

Kiss, L�szl� B., J�nos Kert�sz, and J�nos Hajdu. "Conductance noise spectrum of mesoscopic systems." Zeitschrift f�r Physik B Condensed Matter 81, no. 2 (June 1990): 299–303. http://dx.doi.org/10.1007/bf01309362.

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46

Pervaiz, Ayesha, Fawad Hussain, Huma Israr, Muhammad Ali Tahir, Fawad Riasat Raja, Naveed Khan Baloch, Farruh Ishmanov, and Yousaf Bin Zikria. "Incorporating Noise Robustness in Speech Command Recognition by Noise Augmentation of Training Data." Sensors 20, no. 8 (April 19, 2020): 2326. http://dx.doi.org/10.3390/s20082326.

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The advent of new devices, technology, machine learning techniques, and the availability of free large speech corpora results in rapid and accurate speech recognition. In the last two decades, extensive research has been initiated by researchers and different organizations to experiment with new techniques and their applications in speech processing systems. There are several speech command based applications in the area of robotics, IoT, ubiquitous computing, and different human-computer interfaces. Various researchers have worked on enhancing the efficiency of speech command based systems and used the speech command dataset. However, none of them catered to noise in the same. Noise is one of the major challenges in any speech recognition system, as real-time noise is a very versatile and unavoidable factor that affects the performance of speech recognition systems, particularly those that have not learned the noise efficiently. We thoroughly analyse the latest trends in speech recognition and evaluate the speech command dataset on different machine learning based and deep learning based techniques. A novel technique is proposed for noise robustness by augmenting noise in training data. Our proposed technique is tested on clean and noisy data along with locally generated data and achieves much better results than existing state-of-the-art techniques, thus setting a new benchmark.
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47

Huang, Jing. "Impact of ASE noise in WDM systems." Optik 122, no. 15 (August 2011): 1376–80. http://dx.doi.org/10.1016/j.ijleo.2010.09.013.

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48

Yoo, Seok Bong, and Mikyong Han. "SCENet: Secondary Domain Intercorrelation Enhanced Network for Alleviating Compressed Poisson Noises." Sensors 19, no. 8 (April 25, 2019): 1939. http://dx.doi.org/10.3390/s19081939.

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In real image coding systems, block-based coding is often applied on images contaminated by camera sensor noises such as Poisson noises, which cause complicated types of noises called compressed Poisson noises. Although many restoration methods have recently been proposed for compressed images, they do not provide satisfactory performance on the challenging compressed Poisson noises. This is mainly due to (i) inaccurate modeling regarding the image degradation, (ii) the signal-dependent noise property, and (iii) the lack of analysis on intercorrelation distortion. In this paper, we focused on the challenging issues in practical image coding systems and propose a compressed Poisson noise reduction scheme based on a secondary domain intercorrelation enhanced network. Specifically, we introduced a compressed Poisson noise corruption model and combined the secondary domain intercorrelation prior with a deep neural network especially designed for signal-dependent compression noise reduction. Experimental results showed that the proposed network is superior to the existing state-of-the-art restoration alternatives on classical images, the LIVE1 dataset, and the SIDD dataset.
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49

Landis, Shay, and Ben-Zion Bobrovsky. "1/f Baseband Noise Suppression in OFDM Systems." IEEE Transactions on Communications 59, no. 4 (April 2011): 942–47. http://dx.doi.org/10.1109/tcomm.2011.012711.090196.

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50

Al-Naffouri, Tareq Y., Ahmed A. Quadeer, and Giuseppe Caire. "Impulse Noise Estimation and Removal for OFDM Systems." IEEE Transactions on Communications 62, no. 3 (March 2014): 976–89. http://dx.doi.org/10.1109/tcomm.2014.012414.130244.

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