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Journal articles on the topic 'Electronic systems – Noise'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Adomavičius, Paulius. "INVESTIGATION OF NOISE IN ELECTRONIC ULTRASONIC SYSTEMS." Mokslas - Lietuvos ateitis 2, no. 1 (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 (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 (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

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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 (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 (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 (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 (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 (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 (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 sh

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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 (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 (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 a

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20

Minochkin, Anatolii, Andrii Shyshatskyi, Vitalii Hasan, et al. "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) (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 (recep

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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 (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, et al. "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 fo

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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

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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 (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 re

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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 (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

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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 (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 re

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31

Rudolph, Matthias, and Fabrizio Bonani. "Low-frequency noise in nonlinear systems." IEEE Microwave Magazine 10, no. 1 (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 (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 (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 (2001): 135–39. http://dx.doi.org/10.1078/1434-8411-00020.

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35

Shyshatskyi, Andrii, Vitalii Hasan, Anatolii Hasan, et al. "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) (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 metho

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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 (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 (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 in

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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 (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 p

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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 (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$$\

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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 (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 (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 (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 (1990): 299–303. http://dx.doi.org/10.1007/bf01309362.

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46

Pervaiz, Ayesha, Fawad Hussain, Huma Israr, et al. "Incorporating Noise Robustness in Speech Command Recognition by Noise Augmentation of Training Data." Sensors 20, no. 8 (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 an

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47

Huang, Jing. "Impact of ASE noise in WDM systems." Optik 122, no. 15 (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 (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

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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 (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 (2014): 976–89. http://dx.doi.org/10.1109/tcomm.2014.012414.130244.

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