Academic literature on the topic 'Sinusoidal signal and white noise'

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Journal articles on the topic "Sinusoidal signal and white noise"

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Qin, Shaorui, Siyuan Zhou, Taiyun Zhu, et al. "Sinusoidal Noise Removal in PD Measurement Based on Synchrosqueezing Transform and Singular Spectrum Analysis." Energies 14, no. 23 (2021): 7967. http://dx.doi.org/10.3390/en14237967.

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In electrical engineering, partial discharge (PD) measurement has been widely used for inspecting and judging insulation conditions of high voltage (HV) apparatus. However, on-site PD measurement easily becomes contaminated by noises. Particularly, sinusoidal noise makes it difficult to recognize real PD signal, thus leading to the misjudgment of insulation conditions. Therefore, sinusoidal noise removal is necessary. In this paper, instantaneous frequency (IF) is introduced, and the synchrosqueezing transform (SST) as well as singular spectrum analysis (SSA) is proposed for sinusoidal noise r
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Cao, Jiyuan, Yanwen Wang, Weixiong Zhu, and Yihe Zhang. "A Noise Reduction Algorithm for White Noise and Periodic Narrowband Interference Noise in Partial Discharge Signals." Applied Sciences 15, no. 4 (2025): 1760. https://doi.org/10.3390/app15041760.

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Partial discharge (PD) detection plays an important role in online condition monitoring of electrical equipment and power cables. However, the noise of PD measurement will significantly reduce the performance of the detection algorithm. In this paper, we focus on the study of a PD noise reduction algorithm based on improved singular value decomposition (SVD) and multivariate variational mode decomposition (MVMD) for white Gaussian noise (WGN) and periodic narrowband interference signal noise. The specific noise reduction algorithm is divided into three noise reduction processes: The first nois
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Davidovich, Mihail. "Signal to noise output ratio improvement in nonlinear amplifier under the stochastic resonance." Izvestiya VUZ. Applied Nonlinear Dynamics 6, no. 5 (1998): 43–55. http://dx.doi.org/10.18500/0869-6632-1998-6-5-43-55.

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The numerical simulations of nonlinear four—ports under the stochastic resonance are resulted and presented. The wide—band amplification of modulated signals with the noise coefficient in the range 1.5 — 2.0 dB has been shown. The possibility of noise coefficient decreasing in the circuit with several branches having non-identical four—ports has been investigated. The block—scheme for extraction the sinusoidal signal from white noise has been introduced and investigated. The signal has the form of separated sinusoidal series with carrying frequency ω0. The peculiarities of the scheme are the s
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Kannan, Govind, Issa M. S. Panahi, and Richard W. Briggs. "Sequentially Adapted Parallel Feedforward Active Noise Control of Noisy Sinusoidal Signals." Advances in Acoustics and Vibration 2009 (June 24, 2009): 1–13. http://dx.doi.org/10.1155/2009/694290.

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A large class of acoustic noise sources has an underlying periodic process that generates a periodic noise component, and thus their acoustic noise can in general be modeled as the sum of a periodic signal and a randomly fluctuating signal (usually a broadband background noise). Active control of periodic noise (i.e., for a mixture of sinusoids) is more effective than that of random noise. For mixtures of sinusoids in a background broadband random noise, conventional FXLMS-based single filter method does not reach the maximum achievable Noise Attenuation Level (NALmax⁡). In this paper, an alte
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Kowalczyk, Adam, and Anna Szlachta. "Algorithmic Method for Phase Angle Shift of Noisy Voltages Using Conditional Averaging of Delayed Signal's Absolute Value." Metrology and Measurement Systems 18, no. 1 (2011): 137–44. http://dx.doi.org/10.2478/v10178-011-0013-4.

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Algorithmic Method for Phase Angle Shift of Noisy Voltages Using Conditional Averaging of Delayed Signal's Absolute Value The method of a phase shift angle measurement using conditional averaging of delayed signal absolute value (CAAV) is presented in this paper. The input sinusoidal signal x(t) is without noise. White noise with normal distribution and band limited to low frequencies has been applied as disturbance of delayed sinusoidal signal z(t). Noise n(t) - N(0, σn) is added to the delayed signal - the noised and delayed signal z(t) is obtained. The phase angle shift is proportional to t
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Shen, Chen, Yu, Ge, Han, and Duan. "A Direct Current Measurement Method Based on Terbium Gallium Garnet Crystal and a Double Correlation Detection Algorithm." Sensors 19, no. 13 (2019): 2997. http://dx.doi.org/10.3390/s19132997.

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When applying an optical current transformer (OCT) to direct current measurement, output signals exhibit a low signal-to-noise ratio and signal-to-noise band overlap. Sinusoidal wave modulation is used to solve this problem. A double correlation detection algorithm is used to extract the direct current (DC) signal, remove white noise and improve the signal-to-noise ratio. Our sensing unit uses a terbium gallium garnet crystal in order to increase the output signal-to-noise ratio and measurement sensitivity. Measurement errors of single correlation and double correlation detection algorithms ar
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Wang, Guan Ping, Wan Xia Yang, and Sen Yang. "Research on the Transmission Characteristics of FitzHugh-Nagumo Neuron." Applied Mechanics and Materials 596 (July 2014): 413–16. http://dx.doi.org/10.4028/www.scientific.net/amm.596.413.

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The transmission characteristics of a FitzHugh-Nagumo (FHN) model neuron influenced by Gaussian white noise is studied in this work. With a sinusoidal stimulus as input, based on the time-domain analysis to the output , it is found that there are SR phenomenon, and the signal transmission is mainly depends on the noise intensity, the frequency and the amplitude of the external excitation signals. The analysis show that when the input frequency lies in 0.2Hz~0.5Hz and the amplitudeAis around 0.4, suitable noise intensity is conducive to the optimal neuronal signal transmission.
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Kartika, Misriana, and Fitra Permana Putra. "Study of the Effect of Pink Noise, White Noise, Sinusoidal, and Real Audio Signals with MATLAB-based Sound Pressure Level." Andalas Journal of Electrical and Electronic Engineering Technology 5, no. 1 (2025): 31–36. https://doi.org/10.25077/ajeeet.v5i1.128.

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This study presents a comprehensive methodology for measuring Sound Pressure Level (SPL) utilising MATLAB software. Through analysing four distinct categories of audio signals—Pink Noise, White Noise, Sinusoidal, and Real Audio—this research aims to investigate the fundamental acoustic properties associated with each signal type. The SPL measurement process employs specialised MATLAB functions tailored to each specific signal. The results are meticulously analysed to better understand the acoustic responses regarding energy and frequency spectrum. Furthermore, visual representations of the aud
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Liu, Jin Chun, Qi Wei He, and Shi Jian Zhu. "Adaptive Detection of Sinusoidal Signal Based on Adaptive Iir Notch Filter." Advanced Materials Research 482-484 (February 2012): 541–45. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.541.

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Adaptive tracking sinusoidal signals with time-varying frequency buried in white noise presents a great interest in engineering applications. A simple approach of application of adaptive notch filters (ANFs) in recursive identification was presented. The use of adaptive infinite impulse response (IIR) notch filters is exploited to detect the sinusoidal components in noise as far as the two-stage vibration isolation system. Computer simulations and experiments on real signals generated by the two-stage system vibration isolation demonstrate the advantage of this method in terms of estimation va
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ZHANG, LEI, JUN HE, and AIGUO SONG. "STOCHASTIC RESONANCE IN SATURATION NONLINEARITIES BASED ON SIGNAL DETECTION." Fluctuation and Noise Letters 08, no. 02 (2008): L229—L235. http://dx.doi.org/10.1142/s0219477508004416.

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Recently, it was reported that some saturation nonlinearities could effectively act as noise-aided signal-noise-ratio amplifiers. In the letter we consider the signal detection performance of saturation nonlinearities driven by a sinusoidal signal buried in Gaussian white noise. It is showed that the signal detection statistics still undergo a nonmonotonic evolution as noise is raised. We also particularly show that an improvement of the SNR in terms of the first harmonic does not imply the possibility to improve the signal detection performance through stochastic resonance. The study might al
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Dissertations / Theses on the topic "Sinusoidal signal and white noise"

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Márquez, Ana Fernández. "Fenômeno de ressonância estocástica na percepção tátil em resposta a sinais determinísticos e aleatórios." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3154/tde-20102017-080647/.

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A ressonância estocástica (RE) mostra que certos níveis de ruído ajudam na detecção e transmissão de sinais subliminares. Melhorias no desempenho do sistema somato-sensorial e motor (dentre outros) têm sido obtidos por meio da RE gerada pela utilização de sinais aditivos de intensidade ótima. O sinal aditivo (SA) mais comumente utilizado é o ruído branco gaussiano (RBG). Este estudo teve como objetivo verificar se é possível gerar RE no sistema sensorial tátil usando como SA um sinal senoidal e comparar estes resultados com os obtidos realizando o mesmo experimento com SA de tipo RBG. Os sinai
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Anbiyaei, Mohammad Reza. "White noise reduction for wideband sensor array signal processing." Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/19893/.

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The performance of wideband array signal processing algorithms is dependant on the noise level in the system. In this thesis, a method is proposed for reducing the level of white noise in wideband arrays via a judiciously designed spatial transformation followed by a bank of high-pass filters. The method is initially introduced for uniform linear arrays (ULAs) and analysed in detail. The spectrum of the signal and noise after being processed by the proposed noise reduction method is analysed, and the correlation matrix of the processed noise is derived. The reduced noise level leads to a highe
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Droste, Felix. "Signal transmission in stochastic neuron models with non-white or non-Gaussian noise." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2015. http://dx.doi.org/10.18452/17294.

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Die vorliegende Arbeit befasst sich mit dem Einfluss von nicht-weißem oder nicht-Gauß’schem synaptischen Rauschen auf die Informationsübertragung in stochastischen Neuronenmodellen. Ziel ist es, zu verstehen, wie eine Nervenzelle ein Signal in ihrer Pulsaktivität kodiert. Synaptisches Rauschen beschreibt hier den Einfluss anderer Nervenzellen, die nicht das interessierende Signal tragen, aber seine Übertragung durch ihre synaptische Wirkung auf die betrachtete Zelle beeinflussen. In stochastischen Neuronenmodellen wird diese Hintergrundaktivität durch einen stochastischen Prozess mit geeignet
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Ni, Li. "Non-equiprobable multi-level coding for the additive white Gaussian noise channel with Tikhonov phase error." Online access for everyone, 2005. http://www.dissertations.wsu.edu/Dissertations/Fall2005/l%5Fni%5F120905.pdf.

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Jimenez, David. "Two problems in signal quantization and A/D conversion." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24637.

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Thesis (Ph.D.)--Mathematics, Georgia Institute of Technology, 2008.<br>Committee Chair: Yang Wang; Committee Member: Christopher Heil; Committee Member: Doron Lubinsky; Committee Member: Guillermo Goldsztein; Committee Member: Steven W. McLaughlin
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Younan, Nicolas H. "Estimation techniques for parameters of complex exponentials with noise." Ohio : Ohio University, 1988. http://www.ohiolink.edu/etd/view.cgi?ohiou1172004849.

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Droste, Felix [Verfasser], Benjamin [Akademischer Betreuer] Lindner, Lutz [Akademischer Betreuer] Schimansky-Geier, and Magnus [Akademischer Betreuer] Richardson. "Signal transmission in stochastic neuron models with non-white or non-Gaussian noise / Felix Droste. Gutachter: Benjamin Lindner ; Lutz Schimansky-Geier ; Magnus Richardson." Berlin : Mathematisch-Naturwissenschaftliche Fakultät, 2015. http://d-nb.info/1076314732/34.

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Amorosi, Davide. "Analog signal generation with Raspberry Pi boards for short-range communications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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The aim of this thesis is to realise a low-cost wireless application for short range underwater communications, using ultrasonic frequencies. The project can be described in four main steps. The first one is a detailed study of the serial peripheral interface. It has been carried out in order to understand how to physically and logically connect, through SPI, the hardware involved in this work: a Raspberry Pi 3 model B and the MCP4822 digital to analog converter embedded in the ADC-DAC Pi Zero module. The second phase concerns a Simulink model created in order to reduce the complexity of the p
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Rabi, Maben, Karl Henrik Johansson, and Mikael Johansson. "Optimal stopping for event-triggered sensing and actuation." KTH, Reglerteknik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-80709.

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Novel event-triggered sensing and actuation strategies are presented for networked control systems with limited communication resources. Two architectures are considered: one with the controller co-located with the sensor and one with the control co-located with the actuator. A stochastic control problem with an optimal stopping rule is shown to capture two interesting instances of these architectures. The solution of the problem leads to a parametrization of the control alphabet as piecewise constant commands. The execution of the control commands is triggered by stopping rules for the sensor
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Kokaram, Anil Christopher. "Motion picture restoration." Thesis, University of Cambridge, 1993. https://www.repository.cam.ac.uk/handle/1810/256798.

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This dissertation presents algorithms for restoring some of the major corruptions observed in archived film or video material. The two principal problems of impulsive distortion (Dirt and Sparkle or Blotches) and noise degradation are considered. There is also an algorithm for suppressing the inter-line jitter common in images decoded from noisy video signals. In the case of noise reduction and Blotch removal the thesis considers image sequences to be three dimensional signals involving evolution of features in time and space. This is necessary if any process presented is to show an improvemen
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Books on the topic "Sinusoidal signal and white noise"

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Jahromi, Masaud M. The convergence of a recursive procedure for estimating the frequency of a sinusoidal signal in noise. UMIST, 1996.

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A, Ybarra Gary, and United States. National Aeronautics and Space Administration., eds. Optimal signal processing of frequency-stepped CW radar data. National Aeronautics and Space Administration, 1995.

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Poularikas, Alexander D. Understanding Digital Signal Processing with MATLAB® and Solutions. Taylor & Francis Group, 2017.

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Poularikas, Alexander D. Understanding Digital Signal Processing with MATLAB® and Solutions. Taylor & Francis Group, 2017.

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Poularikas, Alexander D. Understanding Digital Signal Processing with MATLAB® and Solutions. Taylor & Francis Group, 2017.

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Understanding Digital Signal Processing with MATLAB® and Solutions. Taylor & Francis Group, 2017.

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Notebook, Signalkz, and Signalkz Notebook. Notebook: No Signal Distorted Effect on White Noise Bakcground , Journal for Writing, College Ruled Size 6 X 9 , 110 Pages. Independently Published, 2019.

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Berber, Stevan. Discrete Communication Systems. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198860792.001.0001.

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The book present essential theory and practice of the discrete communication systems design, based on the theory of discrete time stochastic processes, and their relation to the existing theory of digital communication systems. Using the notion of stochastic linear time invariant systems, in addition to the orhogonality principles, a general structure of the discrete communication system is constructed in terms of mathematical operators. Based on this structure, the MPSK, MFSK, QAM, OFDM and CDMA systems, using discrete modulation methods, are deduced as special cases. The signals are processe
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Book chapters on the topic "Sinusoidal signal and white noise"

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Gualtierotti, Antonio F. "Likelihoods for Signal Plus “White Noise” Versus “White Noise”." In Detection of Random Signals in Dependent Gaussian Noise. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22315-5_13.

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Billères, M., and G. Fontaine. "High Signal-to-Noise Ratio Observations of EC 14026 Pulsators." In White Dwarfs. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-010-0215-8_17.

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Gualtierotti, Antonio F. "Scope of Signal Plus “White Noise” Model (III)." In Detection of Random Signals in Dependent Gaussian Noise. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22315-5_16.

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Veshkurtsev, Yury. "NOISE IMMUNITY OF THE MODEM IN THE CHANNEL WITH "WHITE" NOISE." In THE FOUNDATIONS OF THE THEORY OF CONSTRUCTION OF NEW-GENERATION MODEMS. AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_628a89252a3fa2.30236651.

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The monography presents the fundamentals of the theory of construction new-generation modems. Modems are built on the principles of statistical communication theory, based on the use of a random signal (chaos) as a carrier of information. In such a signal, a characteristic function is modulated, which is a fundamental characteristic of a random process. The signal modulation and demodulation method is patented and allows you to create modems with efficiency and noise immunity indicators several orders of magnitude higher than those of the known devices of the same name. New-generation modems immediately improve the technical characteristics of digital IT equipment by several orders of magnitude, since they work without errors in wired and radio channels when receiving one hundred duodecillion of binary symbols. The book is recommended for scientists and specialists in the field of digital communication systems, statistical radio engineering and instrumentation, and may be useful for graduate students, masters and students of relevant specialties.
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Veshkurtsev, Yury. "NOISE IMMUNITY OF THE MODEM IN THE CHANNEL WITH "NON- WHITE" NOISE." In THE FOUNDATIONS OF THE THEORY OF CONSTRUCTION OF NEW-GENERATION MODEMS. AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_628a89252b5337.85338589.

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The monography presents the fundamentals of the theory of construction new-generation modems. Modems are built on the principles of statistical communication theory, based on the use of a random signal (chaos) as a carrier of information. In such a signal, a characteristic function is modulated, which is a fundamental characteristic of a random process. The signal modulation and demodulation method is patented and allows you to create modems with efficiency and noise immunity indicators several orders of magnitude higher than those of the known devices of the same name. New-generation modems immediately improve the technical characteristics of digital IT equipment by several orders of magnitude, since they work without errors in wired and radio channels when receiving one hundred duodecillion of binary symbols. The book is recommended for scientists and specialists in the field of digital communication systems, statistical radio engineering and instrumentation, and may be useful for graduate students, masters and students of relevant specialties.
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Greenstein, Jesse L. "White Dwarfs as Observed at High Signal to Noise." In The Impact of Very High S/N Spectroscopy on Stellar Physics. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2937-1_32.

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Gualtierotti, Antonio F. "Scope of the Signal Plus “White Noise” Model (I)." In Detection of Random Signals in Dependent Gaussian Noise. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22315-5_14.

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Gualtierotti, Antonio F. "Scope of the Signal Plus “White Noise” Model (II)." In Detection of Random Signals in Dependent Gaussian Noise. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22315-5_15.

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Soriano, Diogo C., Ricardo Suyama, and Romis Attux. "Blind Extraction of Chaotic Sources from White Gaussian Noise Based on a Measure of Determinism." In Independent Component Analysis and Signal Separation. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00599-2_16.

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Gouédard, Pierre, and Philippe Loubaton. "On the Behaviour of the Estimated Fourth-Order Cumulants Matrix of a High-Dimensional Gaussian White Noise." In Latent Variable Analysis and Signal Separation. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53547-0_26.

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Conference papers on the topic "Sinusoidal signal and white noise"

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Lee, Seung-Won, Jun-Seok Lee, and Han-Jeong Hwang. "Effect of White Noise on Working Memory Using Event-Related Potentials." In 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2024. https://doi.org/10.1109/apsipaasc63619.2025.10848621.

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Pei, Hanchen, Gongping Huang, Jilu Jin, et al. "Data-Driven White Noise Gain Constrained Robust Superdirective Beamformer for Speech Enhancement." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889723.

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Anjos, André A., Diogo C. Arvelos, Luís M. A. Borges, Yonghui Li, and Rausley A. A. de Souza. "Cooperative Spectrum Sensing in TV White Space Scenarios with Fading and Impulsive Noise." In 2024 17th International Conference on Signal Processing and Communication System (ICSPCS). IEEE, 2024. https://doi.org/10.1109/icspcs63175.2024.10815872.

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Shabanov, Kirill A., and Sergey M. Vlasov. "Signal Adaptive Filtering Algorithm to Eliminate White Noise of Stationary and Non-Stationary Signals." In 2024 International Russian Automation Conference (RusAutoCon). IEEE, 2024. http://dx.doi.org/10.1109/rusautocon61949.2024.10694620.

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Shaglouf, Mukhtar, and Robert A. Cottis. "The Effect of Flow on Electrochemical Noise Generation." In CORROSION 2008. NACE International, 2008. https://doi.org/10.5006/c2008-08376.

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Abstract It is known that electrochemical noise can be generated as a result of fluctuations in flow. This work has studied the effect of steady flow in both the laminar and turbulent regimes on the production of electrochemical noise. Experiments have been performed with applied cathodic currents in order to avoid changes in the surface morphology during the experiment. It has been found that flow increases the higher frequency components of the potential noise signal, with the power spectrum tending towards white noise at high Renolds number.
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Liu, Shuangping, Dongling Zhang, and Zhigang Wang. "A Nonparametric Sinusoid Detector with CFAR in White Noise." In 2006 8th international Conference on Signal Processing. IEEE, 2006. http://dx.doi.org/10.1109/icosp.2006.345804.

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Caetano, Marcelo, George Kafentzis, Gilles Degottex, Athanasios Mouchtaris, and Yannis Stylianou. "Evaluating how well filtered white noise models the residual from sinusoidal modeling of musical instrument sounds." In 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE, 2013. http://dx.doi.org/10.1109/waspaa.2013.6701840.

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Fuchs, J. "Estimating the number of sinusoids in additive white-noise." In IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1987. http://dx.doi.org/10.1109/icassp.1987.1169582.

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Fisher, D. S., and F. T. S. Yu. "Acoustooptic signal processing using partially coherent light." In OSA Annual Meeting. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.tue5.

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An investigation into acoustooptic (AO) correlation and spectrum analysis using partially coherent light is presented. The salient feature of the processing architectures is the implementation of a white-light source to reduce coherent artifact noise at the detector plane. In all information processing operations the Bragg cell is amplitude modulated to perform linear processing of light in complex amplitude. Pure sinusoidal signals with no input noise were used to drive the AO cells to isolate the effects of the multiplicative phase noise. This phase noise arises from random thickness variati
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O’Donoghue, Declan, Valeria Nico, Ronan Frizzell, Gerard Kelly, and Jeff Punch. "A Multiple-Degree-of-Freedom Velocity-Amplified Vibrational Energy Harvester: Part A — Experimental Analysis." In ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/smasis2014-7510.

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Vibrational energy harvesters (VEHs) are devices which convert ambient vibrational energy into electrical power, offering an alternative to batteries for powering wireless sensors. Detailed experimental characterisation of a 2-degree-of-freedom (2-Dof) VEH is presented in Part A of this paper, while a theoretical analysis is completed in Part B. This design employs velocity amplification to enhance the power harvested from ambient vibrations, while also seeking to increase the bandwidth over which power can be harvested. Velocity amplification is achieved through sequential collisions between
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