Relevant bibliographies by topics / Intrinsic noise

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

Academic literature on the topic 'Intrinsic noise'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Intrinsic noise"

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Yang, Ren Di, and Yan Li Zhang. "Denoising of ECG Signal Based on Empirical Mode Decomposition and Adaptive Noise Cancellation." Applied Mechanics and Materials 40-41 (November 2010): 140–45. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.140.

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To remove the noises in ECG and to overcome the disadvantage of the denoising method only based on empirical mode decomposition (EMD), a combination of EMD and adaptive noise cancellation is introduced in this paper. The noisy ECG signals are firstly decomposed into intrinsic mode functions (IMFs) by EMD. Then the IMFs corresponding to noises are used to reconstruct signal. The reconstructed signal as the reference input of adaptive noise cancellation and the noisy ECG as the basic input, the de-noised ECG signal is obtained after adaptive filtering. The de-noised ECG has high signal-to-noise
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Sun, Mengyi, and Jianzhi Zhang. "Allele-specific single-cell RNA sequencing reveals different architectures of intrinsic and extrinsic gene expression noises." Nucleic Acids Research 48, no. 2 (December 4, 2019): 533–47. http://dx.doi.org/10.1093/nar/gkz1134.

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Abstract Gene expression noise refers to the variation of the expression level of a gene among isogenic cells in the same environment, and has two sources: extrinsic noise arising from the disparity of the cell state and intrinsic noise arising from the stochastic process of gene expression in the same cell state. Due to the low throughput of the existing method for measuring the two noise components, the architectures of intrinsic and extrinsic expression noises remain elusive. Using allele-specific single-cell RNA sequencing, we here estimate the two noise components of 3975 genes in mouse f
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XIE, ZHI, and DON KULASIRI. "ON EXPLORING EFFECTS OF MOLECULAR NOISE IN A SIMPLE VIRAL INFECTION MODEL." International Journal of Biomathematics 03, no. 01 (March 2010): 1–19. http://dx.doi.org/10.1142/s1793524510000891.

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Intrinsic and extrinsic noises are all believed to be important in the development and function of many living organisms. In this study, we investigate the sources of the intrinsic noise and the influence of the extrinsic noise on an intracellular viral infection system. The contribution of the intrinsic noise from each reaction is measured by means of a special form of stochastic differential equations (SDEs), chemical Langevin equation. The intrinsic noise of the system is a linear sum of the noise in each of the reactions. The intrinsic noise mainly arises from the degradation of mRNA and t
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Liu, Shengjun, Qi Wang, and Hai Feng. "The correlation between intrinsic noise and extrinsic noise." Physica A: Statistical Mechanics and its Applications 392, no. 20 (October 2013): 5138–42. http://dx.doi.org/10.1016/j.physa.2013.06.032.

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Hayden, David, Ye Yuan, and Jorge Goncalves. "Network Identifiability from Intrinsic Noise." IEEE Transactions on Automatic Control 62, no. 8 (August 2017): 3717–28. http://dx.doi.org/10.1109/tac.2016.2640219.

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KHALDI, KAIS, MONIA TURKI-HADJ ALOUANE, and ABDEL-OUAHAB BOUDRAA. "VOICED SPEECH ENHANCEMENT BASED ON ADAPTIVE FILTERING OF SELECTED INTRINSIC MODE FUNCTIONS." Advances in Adaptive Data Analysis 02, no. 01 (January 2010): 65–80. http://dx.doi.org/10.1142/s1793536910000409.

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In this paper a new method for voiced speech enhancement combining the Empirical Mode Decomposition (EMD) and the Adaptive Center Weighted Average (ACWA) filter is introduced. Noisy signal is decomposed adaptively into intrinsic oscillatory components called Intrinsic Mode Functions (IMFs). Since voiced speech structure is mostly distributed on both medium and low frequencies, the shorter scale IMFs of the noisy signal are beneath noise, however the longer scale ones are less noisy. Therefore, the main idea of the proposed approach is to only filter the shorter scale IMFs, and to keep the long
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Shen, Tao, Zhangcai Long, and Bo Chen. "External noise suppression by intrinsic noise in a neuron." Results in Physics 15 (December 2019): 102615. http://dx.doi.org/10.1016/j.rinp.2019.102615.

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VÁZQUEZ-JIMÉNEZ, AARÓN, MOISÉS SANTILLÁN, and JESÚS RODRÍGUEZ-GONZÁLEZ. "CHARACTERIZATION OF INTRINSIC AND EXTRINSIC NOISE EFFECTS IN POSITIVELY REGULATED GENES." Journal of Biological Systems 27, no. 03 (September 2019): 383–98. http://dx.doi.org/10.1142/s0218339019500165.

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Gene regulation is fundamental for cell survival. This regulation must be both robust to noise and sensitive enough to external stimuli to elicit the proper responses. In this work, we study, through stochastic numerical simulations, how a gene regulatory network with a positive feedback loop responds to environmental changes in the presence of intrinsic and extrinsic noises. Noise effects were characterized by measuring the statistical differences between two protein time series resulting from identical systems subject to the same source of extrinsic noise. A robust analysis was implemented b
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Szasz, Oliver, Gyula Peter Szigeti, and Andras Szasz. "Intrinsic Noise Monitoring of Complex Systems." Open Journal of Biophysics 07, no. 04 (2017): 197–215. http://dx.doi.org/10.4236/ojbiphy.2017.74015.

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Prebianca, Flavio, Holokx A. Albuquerque, and Marcus W. Beims. "Describing intrinsic noise in Chua's circuit." Physics Letters A 382, no. 35 (September 2018): 2420–23. http://dx.doi.org/10.1016/j.physleta.2018.05.054.

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Dissertations / Theses on the topic "Intrinsic noise"

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Qu, Song. "Non-Intrinsic Differential-Mode Noise in Switching Power Supplies and Its Implications to EMI Filter Design." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/9788.

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Electromagnetic Interference (EMI) problems in switching power supplies have been traditionally treated with cut-and-try approaches. In recent years, advancement has been made to better understand the problems and minimize the cut-and-try portion of the design process. However, there are still phenomena difficult to explain in many practical design situations. Often, the problems may be solved by luck but many puzzles remain unsolved. If not fully understood, these puzzles are very likely to come back to haunt the designers. According to the conventional theory, there are two modes of nois
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Hortsch, Sayuri Katharina [Verfasser], Andreas [Akademischer Betreuer] Kremling, Andreas [Gutachter] Kremling, and Christina [Gutachter] Kuttler. "Model-based characterization of intrinsic noise in multistable genetic circuits / Sayuri Katharina Hortsch ; Gutachter: Andreas Kremling, Christina Kuttler ; Betreuer: Andreas Kremling." München : Universitätsbibliothek der TU München, 2018. http://d-nb.info/1171425600/34.

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Murrugarra, Tomairo David M. "Algebraic Methods for Modeling Gene Regulatory Networks." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28388.

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So called discrete models have been successfully used in engineering and computational systems biology. This thesis discusses algebraic methods for modeling and analysis of gene regulatory networks within the discrete modeling context. The first chapter gives a background for discrete models and put in context some of the main research problems that have been pursued in this field for the last fifty years. It also outlines the content of each subsequent chapter. The second chapter focuses on the problem of inferring dynamics from the structure (topology) of the network. It also discusses the c
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Xie, Zhi. "Modelling genetic regulatory networks: a new model for circadian rhythms in Drosophila and investigation of genetic noise in a viral infection process." Phd thesis, Lincoln University. Agriculture and Life Sciences Division, 2007. http://theses.lincoln.ac.nz/public/adt-NZLIU20070712.144258/.

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In spite of remarkable progress in molecular biology, our understanding of the dynamics and functions of intra- and inter-cellular biological networks has been hampered by their complexity. Kinetics modelling, an important type of mathematical modelling, provides a rigorous and reliable way to reveal the complexity of biological networks. In this thesis, two genetic regulatory networks have been investigated via kinetic models. In the first part of the study, a model is developed to represent the transcriptional regulatory network essential for the circadian rhythms in Drosophila. The model
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Saygun, Yakup. "Computational Stochastic Morphogenesis." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-257096.

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Self-organizing patterns arise in a variety of ways in nature, the complex patterning observed on animal coats is such an example. It is already known that the mechanisms responsible for pattern formation starts at the developmental stage of an embryo. However, the actual process determining cell fate has been, and still is, unknown. The mathematical interest for pattern formation emerged from the theories formulated by the mathematician and computer scientist Alan Turing in 1952. He attempted to explain the mechanisms behind morphogenesis and how the process of spatial cell differentiation fr
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Andrade, Maria Glória Caño de. "Estudo de transistores de porta tripla de corpo." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/3/3140/tde-10062013-150025/.

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O objetivo principal deste trabalho é o estudo de transistores MuGFETs de porta tripla de Corpo de canal tipo-n com e sem a aplicação da configuração DTMOS. Este estudo será realizado através de simulações numéricas tridimensionais e por caracterizações elétricas. A corrente de dreno, a transcondutância, a resistência, a tensão de limiar, a inclinação de sublimiar e a Redução da Barreira Induzida pelo Dreno (DIBL) serão analisadas em modo DTMOS e em configuração de polarização convencional. Importantes figuras de mérito para o desempenho analógico como transcondutância-sobre-corrente de dreno,
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Deloupy, Alexandre. "Expression stochastique des gènes chez Bacillus subtilis." Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS443.

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Une population d'individus génétiquement identiques partageant le même environnement présente une certaine variabilité phénotypique résiduelle. Cette hétérogénéité découle de la nature stochastique, ou aléatoire, de l'expression des gènes, également appelée bruit. Cette stochasticité résulte d'une part de la rencontre aléatoire d'espèces chimiques pendant la transcription et la traduction (bruit intrinsèque), et d'autre part des fluctuations dans la concentration de ces substances chimiques (bruit extrinsèque). Un modèle stochastique ne faisant intervenir que le bruit intrinsèque prédit que la
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Al, Roumi Fosca. "Théorie Lagrangienne Relativiste de la Formation des Grandes Structures : description Intrinsèque des Perturbations et Gravitoélectromagnétisme." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10136/document.

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La dynamique de formation des structures de l'Univers est habituellement décrite dans le cadre du modèle standard de Cosmologie. Cependant, pour que les observations cosmologiques soient cohérentes avec le modèle standard, il est nécessaire de supposer l'existence d'une grande proportion d'éléments de nature inconnue dans le contenu de l'Univers. Pour tenter de résoudre cette énigme, nous ne considèrerons pas d'autres sources dans le contenu de l'Univers que celles ordinaires et resterons dans le cadre de la Relativité Générale. Nous développerons néanmoins une description plus réaliste de la
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Chung, Tien-Shen, and 鍾天伸. "Intrinsic noise in genetic regulation networks." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/23227796124027063488.

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碩士<br>中原大學<br>應用物理研究所<br>95<br>In this thesis, we investigate the intrinsic noise in transcription and translation level of genetic regulation networks without environmental conditions. The genetic regulation networks can be mathematically described by rate equations. To obtain the stochastic features of the system, the macroscopic rate equation is first rewritten as the stochastic master equation, and then expansion method is used to obtain the linear noise Fokker-Planck equation. We use the linear noise Fokker-Planck equation to analyze the stochastic fluctuations in the regulation networks
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Lin, Yi-Min, and 林益民. "Lossy Substrate De-embedding Method for RF MOSFET Intrinsic Noise Extraction." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/45213202486085666236.

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碩士<br>國立交通大學<br>電子工程系所<br>94<br>For sub-100nm MOSFETs with the gate length scaling to 80 nm and 65 nm, the unit current gain cut off frequency (fT) can achieve as high as 100 GHz and 165 GHz, respectively. However, the as-measured noise figure shows no much difference between 80 nm and 65 nm devices. The minimum noise figure (NFmin) is even higher than 5dB at 10GHz under gate bias responsible for the maximum fT. Strong finger number dependence of noise figure was also observed. All the mentioned phenomena can not be simply explained by gate resistance reduction through multi-finger structure.
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Books on the topic "Intrinsic noise"

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Fermüller, Cornelia. Motion Illusions in Man and Machine. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0006.

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At the level of mathematical abstraction, computing image motion amounts to an estimation problem and can be analyzed using the tools of statistics and signal processing. As shown in this chapter, intrinsic limitations to the estimation processes make it impossible to derive veridical estimates for all images. Image motion is estimated erroneously, and as a result higher level processes compute erroneous three-dimensional motion and moving scenes. Specifically, two limitations are discussed: (a) due to noise in image data, there is statistical bias that affects anisotropic patterns and (2) the
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Alvesson, Mats, Yiannis Gabriel, and Roland Paulsen. Return to Meaning. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198787099.001.0001.

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This book argues that we are currently witnessing not merely a decline in the quality of social science research, but a proliferation of meaningless research of no value to society and modest value to its authors—apart from securing employment and promotion. The explosion of published outputs, at least in social science, creates a noisy, cluttered environment which makes meaningful research difficult, as different voices compete to capture the limelight even briefly. Older, but more impressive contributions are easily neglected as the premium is to write and publish, not read and learn. The re
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Book chapters on the topic "Intrinsic noise"

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Fish, Peter J. "Intrinsic Noise." In Electronic Noise and Low Noise Design, 72–90. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-23060-0_4.

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Weik, Martin H. "intrinsic noise." In Computer Science and Communications Dictionary, 833. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_9552.

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Wang, Ruiqi. "Noise, Intrinsic and Extrinsic." In Encyclopedia of Systems Biology, 1527. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_353.

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Hanke, Ulrik, Yu Galperin, and K. A. Chao. "Intrinsic Noise in Coulomb-Blockaded Devices." In Quantum Dynamics of Submicron Structures, 411–26. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0019-9_32.

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Hazelwood, Richard A., and Patrick C. Macey. "Intrinsic Directional Information of Ground Roll Waves." In The Effects of Noise on Aquatic Life II, 447–53. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2981-8_53.

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Mackey, Michael C., Moisés Santillán, Marta Tyran-Kamińska, and Eduardo S. Zeron. "Noise Effects in Gene Regulation: Intrinsic Versus Extrinsic." In Lecture Notes on Mathematical Modelling in the Life Sciences, 49–69. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45318-7_4.

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Saito, Atsushi, Manabu Abe, Akinobu Irie, Gin-ichiro Oya, and Katsuyoshi Hamasaki. "Low Frequency Noise Properties of Bi2Sr2CaCu2Oy Intrinsic Josephson Junctions." In Advances in Superconductivity XII, 1120–22. Tokyo: Springer Japan, 2000. http://dx.doi.org/10.1007/978-4-431-66877-0_331.

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Adamu-Lema, F., C. Monzio Compagnoni, O. Badami, V. Georgiev, and A. Asenov. "RTN and Its Intrinsic Interaction with Statistical Variability Sources in Advanced Nano-Scale Devices: A Simulation Study." In Noise in Nanoscale Semiconductor Devices, 441–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37500-3_13.

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Soyel, Hamit, Kamil Yurtkan, Hasan Demirel, and Peter W. McOwan. "Brain MR Image Denoising for Rician Noise Using Intrinsic Geometrical Information." In Lecture Notes in Electrical Engineering, 275–84. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22635-4_25.

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Sternad, Dagmar, Meghan E. Huber, and Nikita Kuznetsov. "Acquisition of Novel and Complex Motor Skills: Stable Solutions Where Intrinsic Noise Matters Less." In Advances in Experimental Medicine and Biology, 101–24. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1338-1_8.

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Conference papers on the topic "Intrinsic noise"

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Stienstra, A., A. S. Badger, and P. W. Maxwell. "Intrinsic noise in geophones." In 55th EAEG Meeting. European Association of Geoscientists & Engineers, 1993. http://dx.doi.org/10.3997/2214-4609.201411481.

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Buvin, G. M., and A. M. Shvachkin. "Microwave Diode Intrinsic LF Noise Measurements." In 2007 17th International Crimean Conference - Microwave & Telecommunication Technology. IEEE, 2007. http://dx.doi.org/10.1109/crmico.2007.4368910.

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Rigling, Brian D. "Intrinsic processing gains in noise radar." In 2006 International Waveform Diversity & Design Conference. IEEE, 2006. http://dx.doi.org/10.1109/wdd.2006.8321462.

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Corral, Elena Pascual, Raúl Rengel, María J. Martín, Massimo Macucci, and Giovanni Basso. "Intrinsic Noise Sources in a Schottky Barrier MOSFET: a Monte Carlo Analysis." In NOISE AND FLUCTUATIONS: 20th International Conference on Noice and Fluctuations (ICNF-2009). AIP, 2009. http://dx.doi.org/10.1063/1.3140465.

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Tóth, L., M. Koós, and I. Pócsik. "Electrical conductivity noise in intrinsic a-Si:H at low frequencies." In Noise in physical systems and 1/. AIP, 1993. http://dx.doi.org/10.1063/1.44589.

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Duan, Lingze. "Intrinsic Thermodynamic Noise in Passive Fiber Systems." In Frontiers in Optics. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/fio.2012.fth1d.7.

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Yin, Haibing, Yadong Liu, Zongtan Zhou, Ming Li, Yucheng Wang, and Dewen Hu. "Structured noise analysis in intrinsic optical imaging." In 2010 9th IEEE International Conference on Cognitive Informatics (ICCI). IEEE, 2010. http://dx.doi.org/10.1109/coginf.2010.5599711.

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Allen, B. F., F. Picon, S. Dalibard, N. Magnenat-Thalmann, and D. Thalmann. "Localizing a mobile robot with intrinsic noise." In 2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON 2012). IEEE, 2012. http://dx.doi.org/10.1109/3dtv.2012.6365480.

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Ren, L., and F. N. Hooge. "Intrinsic and extrinsic 1/f noise sources in irradiated n-GaAs." In Noise in physical systems and 1/. AIP, 1993. http://dx.doi.org/10.1063/1.44629.

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García-Loureiro, A. J. "Intrinsic fluctuations induced by a high-κ gate dielectric in sub-100 nm Si MOSFETs". У NOISE AND FLUCTUATIONS: 18th International Conference on Noise and Fluctuations - ICNF 2005. AIP, 2005. http://dx.doi.org/10.1063/1.2036740.

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Reports on the topic "Intrinsic noise"

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Webb, Kevin J. Development of a Noise Intrinsic Equivalent Circuit Model Using Experimental and Numerical Techniques. Fort Belvoir, VA: Defense Technical Information Center, November 2005. http://dx.doi.org/10.21236/ada441362.

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