Academic literature on the topic 'Source noise'

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Journal articles on the topic "Source noise"

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Ermert, Laura, Jonas Igel, Korbinian Sager, Eléonore Stutzmann, Tarje Nissen-Meyer, and Andreas Fichtner. "Introducing noisi: a Python tool for ambient noise cross-correlation modeling and noise source inversion." Solid Earth 11, no. 4 (2020): 1597–615. http://dx.doi.org/10.5194/se-11-1597-2020.

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Abstract. We introduce the open-source tool noisi for the forward and inverse modeling of ambient seismic cross-correlations with spatially varying source spectra. It utilizes pre-computed databases of Green's functions to represent seismic wave propagation between ambient seismic sources and seismic receivers, which can be obtained from existing repositories or imported from the output of wave propagation solvers. The tool was built with the aim of studying ambient seismic sources while accounting for realistic wave propagation effects. Furthermore, it may be used to guide the interpretation
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O’Keefe, Ed, and Russ Graves. "Noise Source Location Optimization." Shock and Vibration 1, no. 5 (1994): 431–37. http://dx.doi.org/10.1155/1994/839439.

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This article describes a method to determine locations of noise sources that minimize modal coupling in complex acoustic volumes. Using the acoustic source scattering capabilities of the boundary element method, predictions are made of mode shape and pressure levels due to various source locations. Combining knowledge of the pressure field with a multivariable function minimization technique, the source location generating minimum pressure levels can be determined. The analysis also allows for an objective comparison of “best/worst” locations. The technique was implemented on a personal comput
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Janello, Carrie, and Paul R. Donavan. "Mapping Heavy Vehicle Noise Source Heights for Highway Noise." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 24 (2018): 134–43. http://dx.doi.org/10.1177/0361198118788428.

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The NCHRP Project 25-45 was initiated in 2013 to measure noise sources during heavy truck pass-bys using the acoustic beamforming method. Phase I testing included measurements from four relatively flat sites in Northern California, where heavy trucks traveled under moderate vehicle speeds. Sixteen additional sites in North Carolina were tested as part of Phase II. These sites had varying pavement grades, faster/slower posted speed limits, and varying operating conditions. The source mapping results from both phases were used to develop noise versus height profiles. The profiles were not signif
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Khan, Junaid Bahadar, Tariqullah Jan, Ruhul Amin Khalil, Nasir Saeed, and Muhannad Almutiry. "An Efficient Multistage Approach for Blind Source Separation of Noisy Convolutive Speech Mixture." Applied Sciences 11, no. 13 (2021): 5968. http://dx.doi.org/10.3390/app11135968.

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This paper proposes a novel efficient multistage algorithm to extract source speech signals from a noisy convolutive mixture. The proposed approach comprises two stages named Blind Source Separation (BSS) and de-noising. A hybrid source prior model separates the source signals from the noisy reverberant mixture in the BSS stage. Moreover, we model the low- and high-energy components by generalized multivariate Gaussian and super-Gaussian models, respectively. We use Minimum Mean Square Error (MMSE) to reduce noise in the noisy convolutive mixture signal in the de-noising stage. Furthermore, th
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Kido, Ken’iti, Hiroshi Kanai, and Masato Abe. "Active Reduction of Noise by Additional Noise Source and Its Limit." Journal of Vibration and Acoustics 111, no. 4 (1989): 480–85. http://dx.doi.org/10.1115/1.3269886.

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This paper describes further investigations of an active noise control system in which an additional sound source is set close to the primary (noise) source. Successful application of this method to duct noise control has already been reported (Kido, 1987). The synthesized sound radiated by the additional source is identical to that of the primary source, except in polarity. The additional and primary sources form a dipole sound source with reduced effective radiation power. In theory, the distance between these two sound sources should be much less than the shortest wavelength in the required
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Kang, Tae-Weon, Jeong-Hwan Kim, Joo-Gwang Lee, Jeong-Il Park, and Dae-Chan Kim. "Determining Noise Temperature of a Noise Source Using Calibrated Noise Sources and an RF Attenuator." IEEE Transactions on Instrumentation and Measurement 60, no. 7 (2011): 2558–63. http://dx.doi.org/10.1109/tim.2011.2130970.

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Baldinelli, Giorgio, Francesco Bianchi, Danilo Costarelli, et al. "Innovative techniques for the improvement of industrial noise sources identification by beamforming." Noise Mapping 8, no. 1 (2021): 129–37. http://dx.doi.org/10.1515/noise-2021-0010.

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Abstract An innovative technique based on beamforming is implemented, at the aim of detecting the distances from the observer and the relative positions among the noise sources themselves in multisource noise scenarios. By means of preliminary activities to assess the optical camera focal length and stereoscopic measurements followed by image processing, the geometric information in the source-microphone direction is retrieved, a parameter generally missed in classic beamforming applications. A corollary of the method consists of the possibility of obtaining also the distance among different n
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Deshpande, A. A. "Source-Noise in Radio Synthesis Images of Polarised Sources." Symposium - International Astronomical Union 158 (1994): 95–99. http://dx.doi.org/10.1017/s0074180900107363.

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We discuss the distribution of Source- and receiver-noise in radio synthesis images of polarised sources. Analytical expressions are presented for the rms noise at any location in the polarisation images. We compare these results with those for the images of unpolarised sources and discuss the usefulness of deconvolution of snap-shot images in reducing the source-noise from the off-source regions in the images.
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Mizumachi, Mitsunori, and Katsuyuki Niyada. "Robust Estimation of Sound Source Direction with Deterministic Background Noise and Stochastic Source Dynamics Models." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 2 (2010): 208–13. http://dx.doi.org/10.20965/jaciii.2010.p0208.

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Direction of Arrival (DOA), a type of auxiliary information used in acoustic signal processing, is vulnerable to acoustical noise, so we want to male the estimation of DOA in noisy environments, relying on spectral sparseness. The energy of acoustic signals such as speech is wide-band, with individual signals localized in specific but different frequency regions. Our proposal involves filtering out spatial features provisionally from subband frequency components at the dominant frequency of the target signal using particle filtering with a sound source dynamics model. The feasibility of our pr
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Dufournet, Didier, Philippe Jouenne, and Adam Rozwadowski. "Automatic noise source recognition." Journal of the Acoustical Society of America 103, no. 5 (1998): 2950. http://dx.doi.org/10.1121/1.422237.

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Dissertations / Theses on the topic "Source noise"

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Robert, Rene Jean. "Measuring noise level reduction using an artificial noise source." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54480.

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Buildings located near airports may be subjected to significant noise levels due to aircraft flyovers. Aircraft noise is particularly annoying when compared to other traffic noises due to its intermittent nature. While noise control is typically performed at the source, sound insulation programs are in place to improve the acoustic performance of a residence affected by the flyovers. Noise Level Reduction (NLR) is a common metric used in the United States to determine whether a residence qualifies for such programs. Sound insulation programs are available to houses that have an indoor Day Nigh
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Wilson, Rhonda Joy. "Noise source cancellation in audio recordings." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417685.

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Huat, Peck Chye. "Location of wideband impulsive noise source." Thesis, University of Bath, 2002. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393796.

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Sasidharan, Nair Unnikrishnan. "Jet noise source localization and identification." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1482412964456451.

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Zheng, Haosheng, and Kaichun Zhang. "Noise Analysis of Computer Chassis and Secondary Sound Source Noise Reduction." Thesis, Blekinge Tekniska Högskola, Institutionen för maskinteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18547.

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This article focuses on computer noise analysis and noise reduction processing. With the popularity of computers, people are increasingly demanding the comfort of using computers. Solving the noise problem of the computer case can make the working environment more comfortable. People working in a noisy environment for a long time can cause anxiety and the quality of work is not high. The main purpose of this paper is to analyse the characteristics of computer noise and to reduce the noise of the chassis through the secondary sound source. Through the comparison of the experimental and simulati
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Williams, Richard G. D. "Noise source identification on large generator units." Thesis, Heriot-Watt University, 1992. http://hdl.handle.net/10399/1423.

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Balaban, Murat. "Noise Source Identification And Adoption Of Proper Noise Control Strategies On Wheeled Tractors." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611838/index.pdf.

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This thesis is aimed at identifying the noise sources of a wheeled tractor to reduce the noise levels below the legislative limits by controlling noise sources through proper methodologies. The study focuses firstly on identifying the noise sources of a wheeled tractor by using proper noise source identification techniques. These techniques can be summarized as sound intensity measurements, sound power level determination studies and spectral analysis of the noise data acquired in the tests. Simple sound intensity mapping techniques are used and the intensity contour maps are generated to iden
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Braun, Michael E. "Sound source contributions for the prediction of vehicle pass-by noise." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/16322.

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Current European legislation aims to limit vehicle noise emissions since many people are exposed to road traffic noise in urban areas. Vehicle pass-by noise is measured according to the international standard ISO 362 in Europe. More recent investigations of urban traffic have led to the proposal of a revised ISO 362 which includes a constant-speed test in addition to the traditional accelerated test in order to determine the pass-by noise value. In order to meet the legal pass-by noise requirements, vehicle manufacturers and suppliers must analyse and quantify vehicle noise source characterist
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Clum, Craig M. "Highway traffic noise barrier overlap gap model." Ohio : Ohio University, 1997. http://www.ohiolink.edu/etd/view.cgi?ohiou1177442958.

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Yardibi, Tarik. "Source localization and power estimation in aeroacoustic noise measurements." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0024868.

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Books on the topic "Source noise"

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Janello, Paul R. Donavan and Carrie J. Mapping Heavy Vehicle Noise Source Heights for Highway Noise Analysis. Transportation Research Board, 2017. http://dx.doi.org/10.17226/24704.

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Donavan, Paul R., and Dana M. Lodico. Measuring Tire-Pavement Noise at the Source. National Academies Press, 2009. http://dx.doi.org/10.17226/14212.

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Uosukainen, Seppo. JMC method applied to active control of sound: Theoretical extensions and new source configurations. Technical Research Centre of Finland, 1999.

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Lončarić, J. Optimization of acoustic source strenght in the problems of active noise control. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2002.

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Cann, Glenn Eric. The acoustic source created by turbulent flow over orifices and louvers. Massachusetts Institute of Technology, Acoustic and Vibration Laboratory, 1987.

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Brooks, Thomas F. Helicopter main-rotor noise: Determination of source contributions using scaled model data. National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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Brooks, Thomas F. Helicopter main-rotor noise: Determination of source contributions using scaled model data. Langley Research Center, 1988.

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Brooks, Thomas F. Helicopter main-rotor noise: Determination of source contributions using scaled model data. National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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Sayood, Khalid. Design of source coders and joint source/channel coders for noisy channels: Semi-annual status report ... May 15, 1987 - November 15, 1987. Instrument Division, Engineering Directorate, Goddard Space Flight Center, 1987.

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Acoustic source and data acquisition system for a helicopter rotor blade-vortex interaction (BVI) noise reduction experiment. Naval Postgraduate School, 1996.

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Book chapters on the topic "Source noise"

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Crighton, D. G., A. P. Dowling, J. E. Ffowcs Williams, M. Heckl, and F. G. Leppington. "Noise Source Mechanisms." In Modern Methods in Analytical Acoustics. Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-0399-8_11.

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Foreman, John E. K. "Noise Source Diagnosis and Case Studies." In Sound Analysis and Noise Control. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-6677-5_9.

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Deshpande, A. A. "Source-Noise in Radio Synthesis Images of Polarised Sources." In Very High Angular Resolution Imaging. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0880-5_11.

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Saruwatari, Hiroshi, and Ryoichi Miyazaki. "Musical-Noise-Free Blind Speech Extraction Based on Higher-Order Statistics Analysis." In Audio Source Separation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73031-8_13.

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Jordan, P. "Analysis techniques for aeroacoustics: noise source identification." In Noise Sources in Turbulent Shear Flows: Fundamentals and Applications. Springer Vienna, 2013. http://dx.doi.org/10.1007/978-3-7091-1458-2_4.

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Dyer, Ira. "Source Mechanisms for Arctic Ocean Ambient Noise." In Natural Physical Sources of Underwater Sound. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1626-8_40.

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Kletschkowski, Thomas. "Noise Source Localization in an Aircraft Cabin." In Adaptive Feed-Forward Control of Low Frequency Interior Noise. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2537-9_13.

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Martin, Rainer, and Israel Cohen. "Single-Channel Speech Presence Probability Estimation and Noise Tracking." In Audio Source Separation and Speech Enhancement. John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119279860.ch6.

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Purcell, Anthony J. "The Perceived Source Directivity of Surface-Generated Ambient Noise." In Natural Physical Sources of Underwater Sound. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1626-8_10.

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Cuong, Nguyen T. K., Vo Q. Ha, Nguyen T. M. Huong, et al. "Removing Noise and Artifacts from EEG Using Adaptive Noise Cancelator and Blind Source Separation." In IFMBE Proceedings. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12020-6_71.

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Conference papers on the topic "Source noise"

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Pereselkov, S. A., V. M. Kuzkin, E. S. Kaznacheeva, and S. A. Tkachenko. "NOISE SOURCE DETECTING." In The XVII-th Brekhovskikh’s Conference «Ocean Acoustics». Shirshov Institute Publishing House, 2020. http://dx.doi.org/10.29006/978-5-9901449-5-8-43.

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Dougherty, Robert Patrick. "Noise Source Imaging by Beamforming." In SAE Brasil Noise and Vibration Conference. SAE International, 2008. http://dx.doi.org/10.4271/2008-36-0518.

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Maya, Carmen, Antonio Lazaro, and Lluis Pradell. "On-wafer noise source characterization." In Second International Symposium on Fluctuations and Noise, edited by Francois Danneville, Fabrizio Bonani, M. Jamal Deen, and Michael E. Levinshtein. SPIE, 2004. http://dx.doi.org/10.1117/12.546375.

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König, Daniel, Seong Koh, Wolfgang Schröder, and Matthias Meinke. "Slat Noise Source Identification." In 15th AIAA/CEAS Aeroacoustics Conference (30th AIAA Aeroacoustics Conference). American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-3100.

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Tae-Weon Kang, Jeong-Hwan Kim, Joo-Gwang Lee, Jeong-Il Park, and Dae-Chan Kim. "Determining noise temperature of a noise source using calibrated noise sources and an RF attenuator." In 2010 Conference on Precision Electromagnetic Measurements (CPEM 2010). IEEE, 2010. http://dx.doi.org/10.1109/cpem.2010.5544775.

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Ginn, K. B., and J. Hald. "Engine Noise: Sound Source Location Using the STSF Technique." In Noise & Vibration Conference & Exposition. SAE International, 1993. http://dx.doi.org/10.4271/931307.

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Carley, Michael. "The near-field of spinning sources: Why source identification is hard." In 159th Meeting Acoustical Society of America/NOISE-CON 2010. ASA, 2010. http://dx.doi.org/10.1121/1.3431358.

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Fernandes, Claudio G., Claudio H. Ananias, Sergio Prati, Carlos Meccia, Hudson Ferreira, and Ricardo Martinez. "Noise Source Identification Using Phase Analysis." In SAE Brasil International Noise and Vibration Congress. SAE International, 2010. http://dx.doi.org/10.4271/2010-36-0543.

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Dobrzynski, W., and M. Pott-Pollenske. "Slat noise source studies for farfield noise prediction." In 7th AIAA/CEAS Aeroacoustics Conference and Exhibit. American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-2158.

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Inavolu, Nagasuresh, S. Nanda Kumar, Keval Kamani, and Jaganmohan Rao M. "Driveline Noise Source Identification and Reduction in Commercial Vehicles." In 10th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. SAE International, 2018. http://dx.doi.org/10.4271/2018-01-1474.

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Reports on the topic "Source noise"

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McConnell, D., and B. Fellenz. Antiproton noise source for the Tevatron. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/7069026.

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McConnell, D., and B. Fellenz. Antiproton noise source for the Tevatron. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10122666.

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Ichinose, G. A. Source Physics Experiment Data Quality Using Background Noise. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1490946.

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Valentine, T. E. Review of Subcritical Source-Driven Noise Analysis Measurements. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/814835.

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Valentine, T. E. Review of Subcritical Source-Driven Noise Analysis Measurements. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/15041.

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Hodgkiss, William S. Source Signature Estimation and Noise Directionality in Shallow Water. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada306524.

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Conder, Wilbur. Spatial variations in the intra-urban response to a noise source. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.1754.

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McIntosh, Robert E. Modification of 95 GHz Radar Source Module for Low Phase Noise Operation. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada249793.

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Kelley, N. D., H. E. McKenna, R. R. Hemphill, C. L. Etter, R. L. Garrelts, and N. C. Linn. Acoustic noise associated with the MOD-1 wind turbine: its source, impact, and control. Office of Scientific and Technical Information (OSTI), 1985. http://dx.doi.org/10.2172/5875386.

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Mihalczo, John. Critical Experiments and Californium Source Driven Noise Analysis Subcritical Measurements with Fresh PWR Fuel pins. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1770653.

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