Relevant bibliographies by topics / Noise 1

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Noise 1'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Noise 1"

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Shi, Yao-Wu, Chen Wang, Lan-Xiang Zhu, Li-Fei Deng, Yi-Ran Shi, and De-Min Wang. "1/f spectrum estimation based on α-stable distribution in colored Gaussian noise environments." Journal of Low Frequency Noise, Vibration and Active Control 38, no. 1 (December 4, 2018): 18–35. http://dx.doi.org/10.1177/1461348418813291.

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The main goal of this paper is to suppress the effect of unavoidable colored Gaussian noise on declining accuracy of transistor 1/f spectrum estimation. Transistor noises are measured by a nondestructive cross-spectrum measurement method, which is first to amplify the voltage signals through ultra-low noise amplifiers, then input the weak signals into data acquisition card. The data acquisition card collects the voltage signals and outputs the amplified noise for further analysis. According to our studies, the output 1/f noise can be characterized more accurately as non-Gaussian α-stable distribution rather than Gaussian distribution. Therefore, by utilizing the properties of α-stable distribution, we propose a cross-spectrum method effective in noisy environments based on samples normalized cross-correlation function. Simulation results and diodes output noise spectrum estimation results confirm the effectiveness of our method.
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Zaklikiewicz, A. M. "1/f noise of avalanche noise." Solid-State Electronics 43, no. 1 (January 1999): 11–15. http://dx.doi.org/10.1016/s0038-1101(98)00204-4.

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Liu, Xingchen, Qicai Zhou, Jiong Zhao, Hehong Shen, and Xiaolei Xiong. "Fault Diagnosis of Rotating Machinery under Noisy Environment Conditions Based on a 1-D Convolutional Autoencoder and 1-D Convolutional Neural Network." Sensors 19, no. 4 (February 25, 2019): 972. http://dx.doi.org/10.3390/s19040972.

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Deep learning methods have been widely used in the field of intelligent fault diagnosis due to their powerful feature learning and classification capabilities. However, it is easy to overfit depth models because of the large number of parameters brought by the multilayer-structure. As a result, the methods with excellent performance under experimental conditions may severely degrade under noisy environment conditions, which are ubiquitous in practical industrial applications. In this paper, a novel method combining a one-dimensional (1-D) denoising convolutional autoencoder (DCAE) and a 1-D convolutional neural network (CNN) is proposed to address this problem, whereby the former is used for noise reduction of raw vibration signals and the latter for fault diagnosis using the de-noised signals. The DCAE model is trained with noisy input for denoising learning. In the CNN model, a global average pooling layer, instead of fully-connected layers, is applied as a classifier to reduce the number of parameters and the risk of overfitting. In addition, randomly corrupted signals are adopted as training samples to improve the anti-noise diagnosis ability. The proposed method is validated by bearing and gearbox datasets mixed with Gaussian noise. The experimental result shows that the proposed DCAE model is effective in denoising and almost causes no loss of input information, while the using of global average pooling and input-corrupt training improves the anti-noise ability of the CNN model. As a result, the method combined the DCAE model and the CNN model can realize high-accuracy diagnosis even under noisy environment.
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EL MELLALI, TARIK, and YOUSSEF OUKNINE. "WEAK CONVERGENCE FOR QUASILINEAR STOCHASTIC HEAT EQUATION DRIVEN BY A FRACTIONAL NOISE WITH HURST PARAMETER H ∈ (½, 1)." Stochastics and Dynamics 13, no. 03 (May 27, 2013): 1250024. http://dx.doi.org/10.1142/s0219493712500244.

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In this paper, we consider a quasi-linear stochastic heat equation in one dimension on [0, 1], with Dirichlet boundary conditions driven by an additive fractional white noise. We formally replace the random perturbation by a family of noisy inputs depending on a parameter n ∈ ℕ which can approximate the fractional noise in some sense. Then, we provide sufficient conditions ensuring that the real-valued mild solution of the SPDE perturbed by this family of noises converges in law, in the space [Formula: see text] of continuous functions, to the solution of the fractional noise driven SPDE.
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Ward, Lawrence, and Priscilla Greenwood. "1/f noise." Scholarpedia 2, no. 12 (2007): 1537. http://dx.doi.org/10.4249/scholarpedia.1537.

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Wang, Chen, Yao-Wu Shi, Lan-Xiang Zhu, Li-Fei Deng, Yi-Ran Shi, and De-Min Wang. "Auto-regressive moving average parameter estimation for 1/f process under colored Gaussian noise background." Journal of Algorithms & Computational Technology 13 (January 2019): 174830261986743. http://dx.doi.org/10.1177/1748302619867439.

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Current algorithms for estimating auto-regressive moving average parameters of transistor 1/f process are usually under noiseless background. Transistor noises are measured by a non-destructive cross-spectrum measurement technique, with transistor noise first passing through dual-channel ultra-low noise amplifiers, then inputting the weak signals into data acquisition card. The data acquisition card collects the voltage signals and outputs the amplified noise for further analysis. According to our studies, the output transistor 1/f noise can be characterized more accurately as non-Gaussian α-stable distribution rather than Gaussian distribution. We define and consistently estimate the samples normalized cross-correlations of linear SαS processes, and propose a samples normalized cross-correlations-based auto-regressive moving average parameter estimation method effective in noisy environments. Simulation results of auto-regressive moving average parameter estimation exhibit good performance.
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Hsu, Chang Francis, Long Hsu, and Sien Chi. "Complexity and Disorder of 1/fα Noises." Entropy 22, no. 10 (October 4, 2020): 1127. http://dx.doi.org/10.3390/e22101127.

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The complexity and the disorder of a 1/fα noise time series are quantified by entropy of entropy (EoE) and average entropy (AE), respectively. The resulting EoE vs. AE plot of a series of 1/fα noises of various values of α exhibits a distinct inverted U curve. For the 1/fα noises, we have shown that α decreases monotonically as AE increases, which indicates that α is also a measure of disorder. Furthermore, a 1/fα noise and a cardiac interbeat (RR) interval series are considered equivalent as they have the same AE. Accordingly, we have found that the 1/fα noises for α around 1.5 are equivalent to the RR interval series of healthy subjects. The pink noise at α = 1 is equivalent to atrial fibrillation (AF) RR interval series while the white noise at α = 0 is more disordered than AF RR interval series. These results, based on AE, are different from the previous ones based on spectral analysis. The testing macro-average F-score is 0.93 when classifying the RR interval series of three groups using AE-based α, while it is 0.73 when using spectral-analysis-based α.
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Klimontovich, Yu L., and J. P. Boon. "Natural Flicker Noise (“1/ f Noise”) in Music." Europhysics Letters (EPL) 3, no. 4 (February 15, 1987): 395–99. http://dx.doi.org/10.1209/0295-5075/3/4/002.

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van der Ziel, A., and P. H. Handel. "Quantum 1/f noise phenomena in semiconductor noise." Physica B+C 129, no. 1-3 (March 1985): 578–79. http://dx.doi.org/10.1016/0378-4363(85)90648-5.

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NAKANO, Aritomo. "Noise control technologies. 1." Journal of Environmental Conservation Engineering 17, no. 7 (1988): 467–71. http://dx.doi.org/10.5956/jriet.17.467.

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Dissertations / Theses on the topic "Noise 1"

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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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Toro, Clemente. "Improved 1/f noise measurements for microwave transistors." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000371.

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Toro, Clemente Jr. "Improved 1/f Noise Measurements for Microwave Transistors." Scholar Commons, 2004. https://scholarcommons.usf.edu/etd/1271.

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Minimizing electrical noise is an increasingly important topic. New systems and modulation techniques require a lower noise threshold. Therefore, the design of RF and microwave systems using low noise devices is a consideration that the circuit design engineer must take into account. Properly measuring noise for a given device is also vital for proper characterization and modeling of device noise. In the case of an oscillator, a vital part of a wireless receiver, the phase noise that it produces affects the overall noise of the system. Factors such as biasing, selectivity of the input and output networks, and selectivity of the active device (e.g. a transistor) affect the phase noise performance of the oscillator. Thus, properly selecting a device that produces low noise is vital to low noise design. In an oscillator, 1/f noise that is present in transistors at low frequencies is upconverted and added to the phase noise around the carrier signal. Hence, proper characterization of 1/f noise and its effects on phase noise is an important topic of research. This thesis focuses on the design of a microwave transistor 1/f noise (flicker noise) measurement system. Ultra-low noise operational amplifier circuits are constructed and used as part of a system designed to measure 1/f noise over a broad frequency range. The system directly measures the 1/f noise current sources generated by transistors with the use of a transimpedance (current) amplifier. Voltage amplifiers are used to provide the additional gain. The system was designed to provide a wide frequency response in order to determine corner frequencies for various devices. Problems such as biasing filter networks, and load resistances are examined as they have an effect on the measured data; and, solutions to these problems are provided. Proper representation of measured 1/f noise data is also presented. Measured and modeled data are compared in order to validate the accuracy of the measurements. As a result, 1/f noise modeling parameters extracted from the measured 1/f noise data are used to provide improved prediction of oscillator phase noise.
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Sanders, Barry Cyril. "Phase noise in quantum physics." Thesis, Imperial College London, 1987. http://hdl.handle.net/10044/1/11624.

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The nature of phase noise in quantum optics is analyzed. In an experiment involving the measurement of the electromagnetic field the two quantities of interest are the energy and phase of the field. However, measurements of the quantities produce quantum fluctuations. The quantum fluctuations are regarded as noise in the treatment presented here. The quantum system is represented by a probability distribution, the Wigner function, and the quantum fluctuations are treated as stochastic noise associated with the quantity being measured. The difficulties of associating a quantum operator with the phase of the system are reviewed and the related energy-phase uncertainty relation is discussed. The alternate interpretation of the phase noise of a quantum system as being the classical phase noise of the Wigner function is presented. In particular the energy and phase noise of the vacuum state, the coherent state, the squeezed state and the squeezed vacuum are discussed in this way. The squeezed states of light are minimum uncertainty states with respect to the quadrature operators and exhibit noise of one quadrature below the noise level associated with the vacuum. The reduced noise level in one quadrature of the field underlies the importance of squeezed states in many practical applications where there is a need to reduce the quantum noise of one quadrature of coherent light. The periodic phase operator eliminates the difficulties associated with the multivalued nature of phase. The analysis of the vacuum and intense coherent state of Carruthers and Nieto by employing periodic phase operators is reviewed, particularly with respect to the energy-phase uncertainty relations and we generalize the approach to develop a phase operator analysis of the squeezed state in the intense field and vacuum limits. We demonstrate here for the first time that the phase operator is simply related to the phase of the squeezed state in the intense field limit and that the squeezed state is approximately an energy-phase minimum uncertainty state in the low-squeezing limit. Also we enlarge on previous work to demonstrate that the phase operator corresponds simply and unambiguously to the phase of the squeeze parameter for the strongly squeezed vacuum and the intensely squeezed vacuum is an energy-phase minimum uncertainty state for some values of phase. The occurrence of squeezing for the case of two coupled quantum oscillators is presented. The system consisting of one mode of the electromagnetic field coupled to a spinless nonrelativistic electron subjected to an harmonic potential is represented by two coupled harmonic oscillators. The dynamics are compared for the case that the rotating wave approximation is employed and for the case that the counter-rotating terms are included. These calculations have not been performed before. The parametric amplifier Hamiltonian with a nonresonant coupling is also studied in order to provide insight into the effects of the counter-rotating terms. Squeezing of the field produced by the electron is a consequence of the inclusion of the counter-rotating terms. The case of a spinless nonrelativistic electron subject to an harmonic potential and coupled to a continuum of electromagnetic field modes is also considered. The case of two coupled oscillators discussed above is generalized by replacing the oscillator which represents the single-mode field by a bath of oscillators. The effects of including counter-rotating terms and of ignoring the counter - rotating terms in the Hamiltonian are compared. The interaction is assumed to produce a frequency shift and an exponential damping term for the oscillating electron. The frequency shift is assumed to be small in either case and so the Wigner-Weisskopff approximation is employed to solve the equations of motion. We demonstrate the new results that dissipation-induced phase-dependent noise is a consequence of including the counter-rotating terms and that the noise is phase-independent for the case that the counterrotating terms are excluded. The relation between these results and recent work on quantum tunnelling in superconducting quantum interference devices is discussed. We conclude by suggesting further research related to the work in this thesis.
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Gesley, Mark Alan. "Spectral analysis of field emission flicker (1/f) noise." Full text open access at:, 1985. http://content.ohsu.edu/u?/etd,85.

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Haigh, Mary K. "1/f noise in mercury cadmium telluride semiconductor diodes." Thesis, Heriot-Watt University, 2005. http://hdl.handle.net/10399/200.

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Jong, Yeung-dong. "Fiber-optic interferometer for high 1/f noise environments /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Gross, Blaine Jeffrey. "1/f noise in MOSFETs with ultrathin gate dielectrics." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/13192.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992.
Includes bibliographical references (p. 176-184).
by Blaine Jeffrey Gross.
Ph.D.
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Rodda, Lasya. "Baseband Noise Suppression in Ofdm Using Kalman Filter." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc115147/.

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As the technology is advances the reduced size of hardware gives rise to an additive 1/f baseband noise. This additive 1/f noise is a system noise generated due to miniaturization of hardware and affects the lower frequencies. Though 1/f noise does not show much effect in wide band channels because of its nature to affect only certain frequencies, 1/f noise becomes a prominent in OFDM communication systems where narrow band channels are used. in this thesis, I study the effects of 1/f noise on the OFDM systems and implement algorithms for estimation and suppression of the noise using Kalman filter. Suppression of the noise is achieved by subtracting the estimated noise from the received noise. I show that the performance of the system is considerably improved by applying the 1/f noise suppression.
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Aitha, Venkat Ramana, and Mohammad Kawsar Imam. "Low Noise Amplifier for radio telescope at 1 : 42 GHz." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-997.

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This is a part of the project “Radio telescope system” working at 1.42 GHz, which includes designing of patch antenna and LNA. The main objective of this thesis is to design a two stage low noise amplifier for a radio telescope system, working at the frequency 1.42 GHz. Finally our aim is to design a two stage LNA, match, connect and test together with patch antenna to reduce

the system complexity and signal loss.

The requirements to design a two stage low noise amplifier (LNA) were well studied, topics including RF basic theory, layout and fabrication of RF circuits. A number of tools are available to design and simulate low noise amplifiers but our simulation work was done using advanced design system (ADS 2004 A). The design process includes selection of a proper device, stability check of the device, biasing, designing of matching networks and layout of total design and fabrication. A lot of time has been

spent on designing of impedance matching network, fabrication and testing of the design circuits and finally a two stage low noise amplifier (LNA) was designed. After the fabrication work, the circuits were tested by the spectrum analyzer in between 9 KHz to 25 GHz frequency range. Finally the resulting noise figure 0.299 dB and gain 24.25 dB are obtained from the simulation.

While measuring the values from the fabricated circuit board, we found that bias point is not stable due to self oscillations in the amplifier stages at lower frequencies like 149 MHz for first stage and 355 MHz for second stage.

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Books on the topic "Noise 1"

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Mandelbrot, Benoit B. Multifractals and 1/ƒ Noise. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-2150-0.

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Bose, Tarit. Aerodynamic Noise. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5019-1.

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Bowlby, William, Rennie Williamson, Darlene Reiter, Clay Patton, Geoffrey Pratt, Ken Kaliski, Karl Washburn, et al. Field Evaluation of Reflected Noise from a Single Noise Barrier�"Phase 1. Washington, D.C.: Transportation Research Board, 2016. http://dx.doi.org/10.17226/23457.

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Fish, Peter J. Electronic Noise and Low Noise Design. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-23060-0.

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Gardiner, Crispin W., and Peter Zoller. Quantum Noise. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04103-1.

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Ollerhead, J. B. The CAA aircraft noise contour model: ANCON version 1. London: Civil Aviation Authority, 1992.

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International Conference on Noise in Physical Systems (10th 1989 Budapest, Hungary). Noise in physical systems: Including 1/f noise, biological systems and membranes : 10th international conference, August 21-25, 1989, Budapest, Hungary. Budapest: Akadémiai Kiadó, 1990.

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Harris, David A., ed. Noise Control Manual. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4757-6009-5.

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Carey, William M., and Richard B. Evans. Ocean Ambient Noise. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-7832-5.

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Mandelbrot, Benoit B. Multifractals and 1/f noise: Wild self-affinity in physics (1963-1976). New York: Springer, 1998.

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Book chapters on the topic "Noise 1"

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Snarskii, Andrei A., Igor V. Bezsudnov, Vladimir A. Sevryukov, Alexander Morozovskiy, and Joseph Malinsky. "Flicker-Noise (1/f-Noise)." In Transport Processes in Macroscopically Disordered Media, 161–80. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4419-8291-9_13.

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Weik, Martin H. "noise." In Computer Science and Communications Dictionary, 1099. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_12337.

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McMullan, R. "Noise." In Environmental Science in Building, 162–82. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-19896-2_10.

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Elsner, James B., and Anastasios A. Tsonis. "Noise." In Singular Spectrum Analysis, 69–86. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2514-8_6.

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Böer, Karl W. "Noise." In Survey of Semiconductor Physics, 885–92. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4615-9744-5_38.

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Lee, Edward A., and David G. Messerschmitt. "Noise." In Digital Communication, 311–77. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4684-0004-5_8.

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Encinas, J. B. "Noise." In Phase Locked Loops, 94–101. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3064-0_6.

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McMullan, Randall. "Noise." In Environmental Science in Building, 195–220. London: Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-14811-0_10.

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Lay-Ekuakille, Aimé. "Noise." In Optical Waveguiding and Applied Photonics, 131–46. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5959-0_8.

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Allen, B. W. "Noise." In Analogue Electronics for Higher Studies, 166–77. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-13364-2_10.

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Conference papers on the topic "Noise 1"

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Handel, Peter H., Thomas F. George, Massimo Macucci, and Giovanni Basso. "1∕f Noise Inside a Faraday Cage." In NOISE AND FLUCTUATIONS: 20th International Conference on Noice and Fluctuations (ICNF-2009). AIP, 2009. http://dx.doi.org/10.1063/1.3140513.

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Musha, Toshimitsu, Massimo Macucci, and Giovanni Basso. "Mathematical Background of 1∕f Fluctuations." In NOISE AND FLUCTUATIONS: 20th International Conference on Noice and Fluctuations (ICNF-2009). AIP, 2009. http://dx.doi.org/10.1063/1.3140479.

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Dykman, M. I., D. G. Luchinsky, P. V. E. McClintock, N. D. Stein, and N. G. Stocks. "Noise-enhanced heterodyning." In Noise in physical systems and 1/. AIP, 1993. http://dx.doi.org/10.1063/1.44647.

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Vandamme, L. K. J., S. Kibeya, B. Orsal, and R. Alabedra. "1/f noise and thermal noise of a GaAs/Al0.4Ga0.6As superlattice." In Noise in physical systems and 1/. AIP, 1993. http://dx.doi.org/10.1063/1.44560.

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Higuchi, Hisayuki. "1/f Temperature Fluctuations in Solids." In NOISE AND FLUCTUATIONS: 18th International Conference on Noise and Fluctuations - ICNF 2005. AIP, 2005. http://dx.doi.org/10.1063/1.2036702.

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Izpura, J. I. "1/f Noise Enhancement In GaAs." In NOISE AND FLUCTUATIONS: 18th International Conference on Noise and Fluctuations - ICNF 2005. AIP, 2005. http://dx.doi.org/10.1063/1.2036711.

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Yakimov, Arkady V., Alexey V. Klyuev, Evgeny I. Shmelev, Arkady V. Murel, Vladimir I. Shashkin, Massimo Macucci, and Giovanni Basso. "1∕F Noise In Si Delta-Doped Schottky Diodes." In NOISE AND FLUCTUATIONS: 20th International Conference on Noice and Fluctuations (ICNF-2009). AIP, 2009. http://dx.doi.org/10.1063/1.3140436.

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Akabane, Hideo, Norihito Miwa, Massimo Macucci, and Giovanni Basso. "1∕f Resistance Fluctuation In Carbon Nanotubes." In NOISE AND FLUCTUATIONS: 20th International Conference on Noice and Fluctuations (ICNF-2009). AIP, 2009. http://dx.doi.org/10.1063/1.3140506.

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Nathan, A. "Bias dependence of low-frequency noise and noise correlations in lateral bipolar transistors." In Noise in physical systems and 1/. AIP, 1993. http://dx.doi.org/10.1063/1.44551.

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Valenza, M., A. Hoffmann, and D. Rigaud. "Channel noise and noise figure of M.O.S. integrated tetrodes in low-frequency range." In Noise in physical systems and 1/. AIP, 1993. http://dx.doi.org/10.1063/1.44676.

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Reports on the topic "Noise 1"

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Fote, A., S. Kohn, E. Fletcher, and J. McDonough. Application of Chaos Theory to 1/f Noise. Fort Belvoir, VA: Defense Technical Information Center, February 1988. http://dx.doi.org/10.21236/ada191150.

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Fidell, Sanford, Nicolaas Reddingius, Michael Harris, and Andrew B. Kugler. Noise and Sonic Boom Impact Technology. Initial Development of an Assessment System for Aircraft Noise (ASAN). Volume 1. Executive Summary. Fort Belvoir, VA: Defense Technical Information Center, June 1989. http://dx.doi.org/10.21236/ada214164.

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VAN DER Ziel, A. Quantum 1/F Noise in Solid State Double Devices, in Particular Hg(1-x) CdxTe Diodes. Fort Belvoir, VA: Defense Technical Information Center, May 1986. http://dx.doi.org/10.21236/ada171438.

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Plotkin, Kenneth J., Kevin W. Bradley, John A. Milino, Katrin G. Helbing, and Douglas S. Fischer. The Effect of Onset Rate on Aircraft Noise Annoyance. Volume 1. Laboratory Experiments. Fort Belvoir, VA: Defense Technical Information Center, May 1992. http://dx.doi.org/10.21236/ada289381.

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Handel, Peter H. Quantum 1/f Noise in High Technology Applications Including Ultrasmall Structures and Devices. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada292812.

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Oouchi, Hitoshi, Masaki Aguro, and Tomoe Jinushi. Research of Low Heat-Mass 4-in-1 Exhaust Manifold Noise Reduction Technology. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0640.

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7

Mercer, Linden B. 1/F Frequency Noise Effects on Self-Heterodyne Linewidth Measurements for Coherent Communications. Fort Belvoir, VA: Defense Technical Information Center, July 1990. http://dx.doi.org/10.21236/ada227942.

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8

Handel, Peter H. Fundamental Quantum 1/F Noise in Ultrasmall Semiconductor Devices and Their Optimal Design Principles. Fort Belvoir, VA: Defense Technical Information Center, May 1988. http://dx.doi.org/10.21236/ada198462.

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9

Ioffe, Lev B., and Lara Faoro. Controlling Decoherence in Superconducting Qubits: Phenomenological Model and Microscopic Origin of 1/f Noise. Fort Belvoir, VA: Defense Technical Information Center, April 2011. http://dx.doi.org/10.21236/ada545158.

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10

Nykaza, Edward T., Dan Valente, S. H. Swift, Brendan Danielson, Peg Krecker, Kathleen Hodgdon, and Trent Gaugler. An Investigation of Community Attitudes Toward Blast Noise. General Community Survey, Study Site 1. Fort Belvoir, VA: Defense Technical Information Center, April 2012. http://dx.doi.org/10.21236/ada561222.

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