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Relevant bibliographies by topics / Noise suppression

Academic literature on the topic 'Noise suppression'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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Journal articles on the topic "Noise suppression"

1

Vilar, J. M. G., and J. M. Rubí. "Noise Suppression by Noise." Physical Review Letters 86, no. 6 (February 5, 2001): 950–53. http://dx.doi.org/10.1103/physrevlett.86.950.

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Stuart, Andrew, and Alyson K. Butler. "Contralateral Suppression of Transient Otoacoustic Emissions and Sentence Recognition in Noise in Young Adults." Journal of the American Academy of Audiology 23, no. 09 (October 2012): 686–96. http://dx.doi.org/10.3766/jaaa.23.9.3.

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Background: One purported role of the medial olivocochlear (MOC) efferent system is to reduce the effects of masking noise. MOC system functioning can be evaluated noninvasively in humans through contralateral suppression of otoacoustic emissions. It has been suggested that the strength of the MOC efferent activity should be positively associated with listening performance in noise. Purpose: The objective of the study was to further explore this notion by examining contralateral suppression of transient evoked otoacoustic emissions (TEOAEs) and sentence recognition in two noises with normal hearing young adults. Research Design: A repeated measures multivariate quasi-experimental design was employed. Study Sample: Thirty-two normal hearing young adult females participated. Data Collection and Analysis: Reception thresholds for sentences (RTSs) were determined monaurally and binaurally in quiet and in competing continuous and interrupted noises. Both noises had an identical power spectrum and differed only in their temporal continuity. “Release from masking” was computed by subtracting RTS signal-to-noise ratios in interrupted from continuous noise. TEOAEs were evoked with 80 dB peSPL click stimuli. To examine contralateral suppression, TEOAEs were evaluated with 60 dB peSPL click stimuli with and without a contralateral 65 dB SPL white noise suppressor. Results: A binaural advantage was observed for RTSs in quiet and noise (p < .0001) while there was no difference between ears (p >.05). In noise, performance was superior in the interrupted noise (i.e., RTSs were lower vs. continuous noise; p < .0001). There were no statistically significant differences in TEOAE levels between ears (p >.05). There was also no significant difference in the amount of suppression between ears (p = .41). There were no significant correlations or predictive linear relations between the amount of TEOAE suppression and any indices of sentence recognition in noise (i.e., RTS signal-to-noise ratios and release from masking; p > .05). Conclusions: The findings are not consistent with the notion that increased medial olivocochlear efferent feedback, as assessed via contralateral suppression of TEOAEs, is associated with improved speech perception in continuous and interrupted noise.

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Nakamura, Shogo. "Noise suppression apparatus." Journal of the Acoustical Society of America 92, no. 3 (September 1992): 1796. http://dx.doi.org/10.1121/1.403853.

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de Cheveigné, Alain, and Jonathan Z. Simon. "Sensor noise suppression." Journal of Neuroscience Methods 168, no. 1 (February 2008): 195–202. http://dx.doi.org/10.1016/j.jneumeth.2007.09.012.

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Ishimaru, Kenzo. "Rotor noise suppression." Journal of the Acoustical Society of America 88, no. 4 (October 1990): 2050. http://dx.doi.org/10.1121/1.400167.

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Lecours, Gaetan. "Track noise suppression." Journal of the Acoustical Society of America 104, no. 2 (August 1998): 617. http://dx.doi.org/10.1121/1.423390.

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Riel, Frank J. "Noise suppression panel." Journal of the Acoustical Society of America 77, no. 2 (February 1985): 781. http://dx.doi.org/10.1121/1.392296.

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Furuta, Satoru. "Noise suppression device." Journal of the Acoustical Society of America 120, no. 5 (2006): 2413. http://dx.doi.org/10.1121/1.2395158.

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Vilmur, Richard J. "Noise suppression system." Journal of the Acoustical Society of America 86, no. 5 (November 1989): 2052. http://dx.doi.org/10.1121/1.398490.

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Shinohara, Kazuhiro. "Noise suppression structure." Journal of the Acoustical Society of America 128, no. 3 (2010): 1559. http://dx.doi.org/10.1121/1.3490346.

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Dissertations / Theses on the topic "Noise suppression"

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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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cui, qiaofeng. "Suppression of impulsive noise in wireless communication." Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-18270.

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This report intends to verify the possibility that the FastICA algorithm could be applied to the GPS system to eliminate the impulsive noise from the receiver end. As the impulsive noise is so unpredictable in its pattern and of great energy level to swallow the signal we need, traditional signal selection methods exhibit no much use in dealing with this problem. Blind Source Separation seems to be a good way to solve this, but most of the other BSS algorithms beside FastICA showed more or less degrees of dependency on the pattern of the noise. In this thesis, the basic mathematic modelling of this advanced algorithm, along with the principles of the commonly used fast independent component analysis (fastICA) based on fixed-point algorithm are discussed. To verify that this method is useful under industrial use environment to remove the impulsive noises from digital BPSK modulated signals, an observation signal mixed with additive impulsive noise is generated and separated by fastICA method. And in the last part of the thesis, the fastICA algorithm is applied to the GPS receiver modeled in the SoftGNSS project and verified to be effective in industrial applications. The results have been analyzed.
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Hebert, Robert Carleton University Dissertation Engineering Electrical. "Background acoustic noise suppression in mobile telephony." Ottawa, 1990.

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Vilidaite, Greta. "Neural noise and suppression in visual processing." Thesis, University of York, 2017. http://etheses.whiterose.ac.uk/19685/.

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Signal transduction in sensory systems is affected by two major neural mechanisms: neural noise and suppression. Both of these factors present limits on the perceptual abilities of the observer. For example, in contrast discrimination both elevate thresholds. Suppression and neural noise have been implicated in normal sensory development, ageing and several neurological disorders. Of particular interest are autism spectrum conditions (ASCs), in which both neural noise and suppressive mechanisms seem to be atypical. This thesis addresses several issues surrounding the measurement and neural implications of neural noise and suppression. Firstly, it investigates where in the brain neural noise affects sensory processing. Using machine learning algorithms to analyse electro- and magneto-encephalography data, it was found that the main source of neural noise is early sensory cortex. Secondly, it compares psychophysical paradigms used to dissociate the effects of noise and suppression, and suggests refined methods, in particular, using double-pass consistency. Thirdly, it investigates the neural effects of modulating neural noise and suppression selectively using transcranial magnetic stimulation (TMS). It reveals that two existing TMS protocols are suitable for this: single pulses suppress neural signals, whereas triple-pulse TMS increases neural noise. Lastly, the thesis investigates neural noise and gain control (a suppressive mechanism) in ASC. The findings show a relationship between sensory noise and autistic traits in the neurotypical population. Furthermore, electrophysiology data from ASC children and adults as well as a genetic Drosophila model of autism revealed a deficit in the transient dynamics of ASC visual systems, which changes over the course of development. Striking similarities between the fruit fly (Nhe3) model and humans suggests that the genetic model is suitable for further research on ASC sensory symptoms. Taken together, this thesis expands the understanding of neural noise and suppression as well as the situations in which these mechanisms are implicated.

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Evernham, Jeffrey Thomas. "Acoustic noise suppression for helicopter communication systems." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/42553.

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Messing, David P. (David Patrick) 1979. "Noise suppression with non-air-acoustic sensors." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87444.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (leaves [74]-[75]).
by David P. Messing.
S.M.

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Etter, Walter. "Contributions to noise suppression in monophonic speech signals /." [S.l.] : [s.n.], 1993. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=10210.

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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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Vishal, Kumar. "Incoherent noise suppression and deconvolution using curvelet-domain sparsity." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/8843.

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Curvelets are a recently introduced transform domain that belongs to a family of multiscale and also multidirectional data expansions. As such, curvelets can be applied to resolution of the issues of complicated seismic wavefronts. We make use of this multiscale, multidirectional and hence sparsifying ability of the curvelet transform to suppress incoherent noise from crustal data where the signal-to-noise ratio is low and to develop an improved deconvolution procedure. Incoherent noise present in seismic reflection data corrupts the quality of the signal and can often lead to misinterpretation. The curvelet domain lends itself particularly well for denoising because coherent seismic energy maps to a relatively small number of significant curvelet coefficients while incoherent energy is spread more or less evenly amongst all curvelet coefficients. Following standard processing of crustal reflection data, we apply our curvelet denoising algorithm to deep reflection data. In terms of enhancing the coherent energy and removing incoherent noise, curvelets perform better than the F-X prediction method. We also use the curvelet transform to exploit the continuity along reflectors for cases in which the assumption of spiky reflectivity may not hold. We show that such type of seismic reflectivity is sparse in the curvelet-domain. This curvelet-domain compression of reflectivity opens new perspectives towards solving classical problems in seismic processing, including the deconvolution problem. We present a formulation that seeks curvelet-domain sparsity for non-spiky reflectivity. Comparing the results with those obtained from sparse spike deconvolution, curvelets perform better than the latter by recovering the frequency components, which get degraded by convolution operator and noise.

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Zhang, Yang. "Phase noise suppression techniques for 5-6GHZ oscillator design." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Fall2007/y_zhang_113007.pdf.

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Books on the topic "Noise suppression"

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Bullock, Kevin. Noise and noise suppression on underground mine fans. Sudbury, Ont: Laurentian University, School of Engineering, 1987.

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Gerhard, Schmidt, ed. Acoustic echo and noise control. Hoboken, N.J: Wiley-Interscience, 2004.

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Hänsler, E. Acoustic Echo and Noise Control. New York: John Wiley & Sons, Ltd., 2005.

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Conference on Mechanical Vibration and Noise (11th 1987 Boston, Mass.). Vibration control and active vibration suppression. New York, N.Y. (345 E. 47th St., New York 10017): American Society of Mechanical Engineers, 1987.

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Dittmar, James H. Laboratory experiments on active suppression of advanced turboprop noise. [s.l]: National Aeronautics and Space Administration, 1985.

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Noise coupling in integrated circuits: A practical approach to analysis, modeling, and suppression. Newbury Park, CA: NoiseCoupling.com, 2008.

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Wagenknecht, C. D. Aerodynamic performance investigation of advanced mechanical suppressor and ejector nozzle concepts for jet noise reduction. [Cleveland, Ohio]: Lewis Research Center, 1985.

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Rosenhouse, G. Active Noise Suppression Volume 1. WIT Press (UK), 2001.

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Hybrid active/passive jet engine noise suppression system. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1999.

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Hänsler, Eberhard, and Gerhard Schmidt. Topics in Acoustic Echo and Noise Control: Selected Methods for the Cancellation of Acoustical Echoes, the Reduction of Background Noise, and Speech Processing. Springer, 2010.

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Book chapters on the topic "Noise suppression"

1

Weik, Martin H. "noise suppression." In Computer Science and Communications Dictionary, 1102. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_12362.

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Fittinghoff, David N., and Michael Munroe. "Noise: Its Effects and Suppression." In Frequency-Resolved Optical Gating: The Measurement of Ultrashort Laser Pulses, 179–201. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-1181-6_9.

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Farouk, Mohamed Hesham. "Speech Enhancement and Noise Suppression." In SpringerBriefs in Electrical and Computer Engineering, 21–24. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02732-6_4.

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Farouk, Mohamed Hesham. "Speech Enhancement and Noise Suppression." In SpringerBriefs in Electrical and Computer Engineering, 35–40. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69002-5_6.

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Liu, R. C., P. Eastman, and Y. Yamamoto. "Simulations of Partition Noise Suppression." In Quantum Transport in Semiconductor Submicron Structures, 365–74. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1760-6_19.

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Núñez, Jorge, and Jorge Llacer. "Bayesian Image Reconstruction with Noise Suppression." In Statistical Challenges in Modern Astronomy II, 403–4. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1968-2_28.

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Ritsch, H., and P. Zoller. "Quantum Noise Reduction in Lasers by Dynamic Pump Noise Suppression." In Quantum Measurements in Optics, 271–75. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3386-3_22.

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Benesty, Jacob, Constantin Paleologu, Tomas Gänsler, and Silviu Ciochină. "Echo and Noise Suppression as a Binaural Noise Reduction Problem." In A Perspective on Stereophonic Acoustic Echo Cancellation, 81–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22574-1_8.

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Ince, Gökhan, Kazuhiro Nakadai, Tobias Rodemann, Hiroshi Tsujino, and Jun-Ichi Imura. "Robust Ego Noise Suppression of a Robot." In Trends in Applied Intelligent Systems, 62–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13022-9_7.

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Matlashov, A., Yu Zhuravlev, A. Lipovich, A. Alexandrov, E. Mazaev, V. Slobodchikov, and O. Wazhiewski. "Electronic Noise Suppression in Multichannel Neuromagnetic System." In Advances in Biomagnetism, 725–28. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0581-1_163.

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Conference papers on the topic "Noise suppression"

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Trickett, Stewart R. "F‐x eigenimage noise suppression." In SEG Technical Program Expanded Abstracts 2002. Society of Exploration Geophysicists, 2002. http://dx.doi.org/10.1190/1.1817135.

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Xu, Zhengya, Hong Ren Wu, Xinghuo Yu, and Zhihong Man. "Adaptive surveillance video noise suppression." In 2011 24th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2011. http://dx.doi.org/10.1109/ccece.2011.6030607.

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Yang, Jun, and Joshua Bingham. "Environment-Aware Reconfigurable Noise Suppression." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053652.

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Sa, Pankaj Kumar, Banshidhar Majhi, and Ganapati Panda. "Improved Adaptive Impulsive Noise Suppression." In 2007 IEEE International Fuzzy Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/fuzzy.2007.4295380.

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Trickett, Stewart. "F‐xy Cadzow noise suppression." In SEG Technical Program Expanded Abstracts 2008. Society of Exploration Geophysicists, 2008. http://dx.doi.org/10.1190/1.3063880.

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Pain, Bedabrata, Thomas J. Cunningham, and Bruce R. Hancock. "Noise sources and noise suppression in CMOS imagers." In Optical Science and Technology, SPIE's 48th Annual Meeting, edited by Thomas J. Grycewicz and Craig R. McCreight. SPIE, 2004. http://dx.doi.org/10.1117/12.512281.

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Kim, Byunghyuck, Sang-Gu Kang, Hee Chul Lee, and Choong-Ki Kim. "Noise bandwidth suppression circuit for low-noise IRFPA." In International Symposium on Optical Science and Technology, edited by Bjorn Andresen, Gabor F. Fulop, and Marija Strojnik. SPIE, 2003. http://dx.doi.org/10.1117/12.451959.

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Dallas, William J., Hans Roehrig, Jiahua Fan, Elizabeth A. Krupinski, and Jeffrey P. Johnson. "Spatial noise suppression for LCD displays: noise contrast." In SPIE Medical Imaging, edited by David J. Manning and Craig K. Abbey. SPIE, 2010. http://dx.doi.org/10.1117/12.844615.

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Maione, I. A., G. Fiori, L. Guidi, G. Basso, M. Macucci, B. Pellegrini, Massimo Macucci, and Giovanni Basso. "Shot noise suppression in p-n junctions due to carrier recombination." In NOISE AND FLUCTUATIONS: 20th International Conference on Noice and Fluctuations (ICNF-2009). AIP, 2009. http://dx.doi.org/10.1063/1.3140435.

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Kohler, Sigmund. "Current and noise suppression in ac-driven coherent transport." In NOISE AND FLUCTUATIONS: 18th International Conference on Noise and Fluctuations - ICNF 2005. AIP, 2005. http://dx.doi.org/10.1063/1.2036695.

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Reports on the topic "Noise suppression"

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Noble, John M., II Alberts, Collier W. C., Raspet Sandra L., Coleman Richard, and Mark A. Wind Noise Suppression for Infrasound Sensors. Fort Belvoir, VA: Defense Technical Information Center, March 2014. http://dx.doi.org/10.21236/ada601355.

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Schick, I. C., and H. Krim. Robust Wavelet Thresholding for Noise Suppression. Fort Belvoir, VA: Defense Technical Information Center, December 1996. http://dx.doi.org/10.21236/ada458897.

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Wang, Lan, and Norm Bleistein. Noise Suppression in Large Wavenumber Fourier Imaging. Fort Belvoir, VA: Defense Technical Information Center, May 1997. http://dx.doi.org/10.21236/ada327904.

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Milkereit, B., and C. Spencer. Noise suppression and coherency enhancement of seismic data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128064.

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KRISHNA, C. R. SURVEY OF NOISE SUPPRESSION SYSTEMS FOR ENGINE GENERATOR SETS. Office of Scientific and Technical Information (OSTI), October 1999. http://dx.doi.org/10.2172/752962.

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Harris, Jack G. Suppression of Laser Shot Noise Using Laser-Cooled OptoMechanical Systems. Fort Belvoir, VA: Defense Technical Information Center, April 2010. http://dx.doi.org/10.21236/ada546917.

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Anderson, Brian, Craig Robin, Angel Flores, and Iyad Dajani. Experimental Study of SBS Suppression via White Noise Phase Modulation. Fort Belvoir, VA: Defense Technical Information Center, February 2014. http://dx.doi.org/10.21236/ada626963.

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A.A. Balakin, G.M. Fraiman, N.J. Fisch, and V.M. Malkin. Noise Suppression and Enhanced Focusability in Plasma Raman Amplifier with Multi-frequency Pump. Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/814683.

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Lebedev, V., V. Parkhomchuk, V. Shiltsev, and G. Stupakov. Emittance growth due to noise and its suppression with the Feedback system in large hadron colliders. Office of Scientific and Technical Information (OSTI), March 1993. http://dx.doi.org/10.2172/67494.

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Teolis, Anthony. Discrete Representation of Signals from Infinite Dimensional Hilbert Spaces with Application to Noise Suppression and Compression. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada453215.

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