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Dept: Mathematics

You searched for subject:(Noise). Showing records 1 – 23 of 23 total matches.

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Rutgers University

1. Tang, Sijian, 1991-. Two problems in noise tolerant computing.

Degree: PhD, Mathematics, 2018, Rutgers University

This thesis consists of 2 main results about computations under random noise. In both problems we consider the discrete input picked from the hamming cube… (more)

Subjects/Keywords: Random noise theory

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APA (6th Edition):

Tang, Sijian, 1. (2018). Two problems in noise tolerant computing. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/59248/

Chicago Manual of Style (16th Edition):

Tang, Sijian, 1991-. “Two problems in noise tolerant computing.” 2018. Doctoral Dissertation, Rutgers University. Accessed July 09, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/59248/.

MLA Handbook (7th Edition):

Tang, Sijian, 1991-. “Two problems in noise tolerant computing.” 2018. Web. 09 Jul 2020.

Vancouver:

Tang, Sijian 1. Two problems in noise tolerant computing. [Internet] [Doctoral dissertation]. Rutgers University; 2018. [cited 2020 Jul 09]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/59248/.

Council of Science Editors:

Tang, Sijian 1. Two problems in noise tolerant computing. [Doctoral Dissertation]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/59248/


Virginia Tech

2. Hofmann, Ariane Leoni. A Stochastic Framework to Model Extrinsic Noise in Gene Regulatory Networks.

Degree: MS, Mathematics, 2012, Virginia Tech

 Stochastic modeling to represent intrinsic and extrinsic noise is an important challenge in molecular systems biology. There are numerous ways to model intrinsic noise. One… (more)

Subjects/Keywords: mathematical modeling; extrinsic noise; gene regulatory networks

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APA (6th Edition):

Hofmann, A. L. (2012). A Stochastic Framework to Model Extrinsic Noise in Gene Regulatory Networks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76841

Chicago Manual of Style (16th Edition):

Hofmann, Ariane Leoni. “A Stochastic Framework to Model Extrinsic Noise in Gene Regulatory Networks.” 2012. Masters Thesis, Virginia Tech. Accessed July 09, 2020. http://hdl.handle.net/10919/76841.

MLA Handbook (7th Edition):

Hofmann, Ariane Leoni. “A Stochastic Framework to Model Extrinsic Noise in Gene Regulatory Networks.” 2012. Web. 09 Jul 2020.

Vancouver:

Hofmann AL. A Stochastic Framework to Model Extrinsic Noise in Gene Regulatory Networks. [Internet] [Masters thesis]. Virginia Tech; 2012. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/10919/76841.

Council of Science Editors:

Hofmann AL. A Stochastic Framework to Model Extrinsic Noise in Gene Regulatory Networks. [Masters Thesis]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/76841


University of Colorado

3. Kaslovsky, Daniel N. Geometric Sparsity in High Dimension.

Degree: PhD, Mathematics, 2012, University of Colorado

  While typically complex and high-dimensional, modern data sets often have a concise underlying structure. This thesis explores the sparsity inherent in the geometric structure… (more)

Subjects/Keywords: Geometry; High-dimensional data; Noise; Sparsity; Applied Mathematics

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APA (6th Edition):

Kaslovsky, D. N. (2012). Geometric Sparsity in High Dimension. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/math_gradetds/15

Chicago Manual of Style (16th Edition):

Kaslovsky, Daniel N. “Geometric Sparsity in High Dimension.” 2012. Doctoral Dissertation, University of Colorado. Accessed July 09, 2020. https://scholar.colorado.edu/math_gradetds/15.

MLA Handbook (7th Edition):

Kaslovsky, Daniel N. “Geometric Sparsity in High Dimension.” 2012. Web. 09 Jul 2020.

Vancouver:

Kaslovsky DN. Geometric Sparsity in High Dimension. [Internet] [Doctoral dissertation]. University of Colorado; 2012. [cited 2020 Jul 09]. Available from: https://scholar.colorado.edu/math_gradetds/15.

Council of Science Editors:

Kaslovsky DN. Geometric Sparsity in High Dimension. [Doctoral Dissertation]. University of Colorado; 2012. Available from: https://scholar.colorado.edu/math_gradetds/15


Wayne State University

4. Hashemi, Araz Ryan. Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation.

Degree: PhD, Mathematics, 2014, Wayne State University

  This dissertation investigates problems arising in identification and control of stochastic systems. When the parameters determining the underlying systems are unknown and/or time varying,… (more)

Subjects/Keywords: Adaptive; Estimation; Filtering; Noise Attenuation; Stochastic; Mathematics; Statistics and Probability

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APA (6th Edition):

Hashemi, A. R. (2014). Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/886

Chicago Manual of Style (16th Edition):

Hashemi, Araz Ryan. “Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation.” 2014. Doctoral Dissertation, Wayne State University. Accessed July 09, 2020. https://digitalcommons.wayne.edu/oa_dissertations/886.

MLA Handbook (7th Edition):

Hashemi, Araz Ryan. “Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation.” 2014. Web. 09 Jul 2020.

Vancouver:

Hashemi AR. Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation. [Internet] [Doctoral dissertation]. Wayne State University; 2014. [cited 2020 Jul 09]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/886.

Council of Science Editors:

Hashemi AR. Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation. [Doctoral Dissertation]. Wayne State University; 2014. Available from: https://digitalcommons.wayne.edu/oa_dissertations/886


University of Kansas

5. Huang, Jingyu. Stochastic partial differential equations driven by colored noise.

Degree: PhD, Mathematics, 2015, University of Kansas

 This dissertation studies some problems for stochastic partial differential equations, in particular, (nonlinear) stochastic heat and stochastic wave equations, driven by (multiplicative) colored Gaussian noises.… (more)

Subjects/Keywords: Mathematics; colored noise; H\"older continuity; intermittency; mild solution; probability density; Stochastic partial differential equations

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APA (6th Edition):

Huang, J. (2015). Stochastic partial differential equations driven by colored noise. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/19051

Chicago Manual of Style (16th Edition):

Huang, Jingyu. “Stochastic partial differential equations driven by colored noise.” 2015. Doctoral Dissertation, University of Kansas. Accessed July 09, 2020. http://hdl.handle.net/1808/19051.

MLA Handbook (7th Edition):

Huang, Jingyu. “Stochastic partial differential equations driven by colored noise.” 2015. Web. 09 Jul 2020.

Vancouver:

Huang J. Stochastic partial differential equations driven by colored noise. [Internet] [Doctoral dissertation]. University of Kansas; 2015. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/1808/19051.

Council of Science Editors:

Huang J. Stochastic partial differential equations driven by colored noise. [Doctoral Dissertation]. University of Kansas; 2015. Available from: http://hdl.handle.net/1808/19051


Virginia Tech

6. Murrugarra Tomairo, David M. Algebraic Methods for Modeling Gene Regulatory Networks.

Degree: PhD, Mathematics, 2012, Virginia Tech

 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… (more)

Subjects/Keywords: Systems Biology; Stochastic Discrete Modeling; Intrinsic Noise.; Nested Canalyzing Functions; Gene Regulatory Networks; Robustness

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APA (6th Edition):

Murrugarra Tomairo, D. M. (2012). Algebraic Methods for Modeling Gene Regulatory Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28388

Chicago Manual of Style (16th Edition):

Murrugarra Tomairo, David M. “Algebraic Methods for Modeling Gene Regulatory Networks.” 2012. Doctoral Dissertation, Virginia Tech. Accessed July 09, 2020. http://hdl.handle.net/10919/28388.

MLA Handbook (7th Edition):

Murrugarra Tomairo, David M. “Algebraic Methods for Modeling Gene Regulatory Networks.” 2012. Web. 09 Jul 2020.

Vancouver:

Murrugarra Tomairo DM. Algebraic Methods for Modeling Gene Regulatory Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/10919/28388.

Council of Science Editors:

Murrugarra Tomairo DM. Algebraic Methods for Modeling Gene Regulatory Networks. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/28388


Linnaeus University

7. Feng, Zijie. Stock-Price Modeling by the Geometric Fractional Brownian Motion: A View towards the Chinese Financial Market.

Degree: Mathematics, 2018, Linnaeus University

  As an extension of the geometric Brownian motion, a geometric fractional Brownian motion (GFBM) is considered as a stock-price model. The modeled GFBM is… (more)

Subjects/Keywords: geometric fractional Brownian motion; fractional Brownian motion; fractional Gaussian noise; Hurst exponent; Mathematics; Matematik

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APA (6th Edition):

Feng, Z. (2018). Stock-Price Modeling by the Geometric Fractional Brownian Motion: A View towards the Chinese Financial Market. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78375

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Feng, Zijie. “Stock-Price Modeling by the Geometric Fractional Brownian Motion: A View towards the Chinese Financial Market.” 2018. Thesis, Linnaeus University. Accessed July 09, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78375.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Feng, Zijie. “Stock-Price Modeling by the Geometric Fractional Brownian Motion: A View towards the Chinese Financial Market.” 2018. Web. 09 Jul 2020.

Vancouver:

Feng Z. Stock-Price Modeling by the Geometric Fractional Brownian Motion: A View towards the Chinese Financial Market. [Internet] [Thesis]. Linnaeus University; 2018. [cited 2020 Jul 09]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78375.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Feng Z. Stock-Price Modeling by the Geometric Fractional Brownian Motion: A View towards the Chinese Financial Market. [Thesis]. Linnaeus University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78375

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

8. Ingle, Richard Maurice. A boundary value problem related to the radiation of sound from a supersonic jet.

Degree: PhD, Mathematics, 1980, Georgia Tech

Subjects/Keywords: Jet planes Noise; Boundary value problems

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APA (6th Edition):

Ingle, R. M. (1980). A boundary value problem related to the radiation of sound from a supersonic jet. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/28960

Chicago Manual of Style (16th Edition):

Ingle, Richard Maurice. “A boundary value problem related to the radiation of sound from a supersonic jet.” 1980. Doctoral Dissertation, Georgia Tech. Accessed July 09, 2020. http://hdl.handle.net/1853/28960.

MLA Handbook (7th Edition):

Ingle, Richard Maurice. “A boundary value problem related to the radiation of sound from a supersonic jet.” 1980. Web. 09 Jul 2020.

Vancouver:

Ingle RM. A boundary value problem related to the radiation of sound from a supersonic jet. [Internet] [Doctoral dissertation]. Georgia Tech; 1980. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/1853/28960.

Council of Science Editors:

Ingle RM. A boundary value problem related to the radiation of sound from a supersonic jet. [Doctoral Dissertation]. Georgia Tech; 1980. Available from: http://hdl.handle.net/1853/28960


The Ohio State University

9. Yablonsky, Eugene. Characterization of operators in non-gaussian infinite dimensional analysis.

Degree: PhD, Mathematics, 2003, The Ohio State University

 It is known that many constructions arising in the classical Gaussian infinite dimensional analysis can be extended to the case of more general measures. One… (more)

Subjects/Keywords: Mathematics; White Noise Operators; Biorthogonal Appell systems

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APA (6th Edition):

Yablonsky, E. (2003). Characterization of operators in non-gaussian infinite dimensional analysis. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1054787409

Chicago Manual of Style (16th Edition):

Yablonsky, Eugene. “Characterization of operators in non-gaussian infinite dimensional analysis.” 2003. Doctoral Dissertation, The Ohio State University. Accessed July 09, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1054787409.

MLA Handbook (7th Edition):

Yablonsky, Eugene. “Characterization of operators in non-gaussian infinite dimensional analysis.” 2003. Web. 09 Jul 2020.

Vancouver:

Yablonsky E. Characterization of operators in non-gaussian infinite dimensional analysis. [Internet] [Doctoral dissertation]. The Ohio State University; 2003. [cited 2020 Jul 09]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1054787409.

Council of Science Editors:

Yablonsky E. Characterization of operators in non-gaussian infinite dimensional analysis. [Doctoral Dissertation]. The Ohio State University; 2003. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1054787409


UCLA

10. Yan, Ming. Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit.

Degree: Mathematics, 2012, UCLA

 Most of the studies of noise-induced phenomena assume that the noise source is Gaussian because of the possibility of obtaining some analytical results when working… (more)

Subjects/Keywords: Mathematics; 1-Bit Compressive Sensing; adaptive outlier pursuit; EM-type algorithms; Impulse Noise; Poisson data; sparsely corrupted data

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APA (6th Edition):

Yan, M. (2012). Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/51v8h8sp

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yan, Ming. “Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit.” 2012. Thesis, UCLA. Accessed July 09, 2020. http://www.escholarship.org/uc/item/51v8h8sp.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yan, Ming. “Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit.” 2012. Web. 09 Jul 2020.

Vancouver:

Yan M. Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit. [Internet] [Thesis]. UCLA; 2012. [cited 2020 Jul 09]. Available from: http://www.escholarship.org/uc/item/51v8h8sp.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yan M. Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit. [Thesis]. UCLA; 2012. Available from: http://www.escholarship.org/uc/item/51v8h8sp

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Vanderbilt University

11. Leonetti, Casey Clark. Reconstruction from Error-Affected Sampled Data in Shift-Invariant Spaces.

Degree: PhD, Mathematics, 2007, Vanderbilt University

 In the following chapters we provide error estimates for signals reconstructed from corrupt data. Two different types of error are considered. First, we address the… (more)

Subjects/Keywords: jitter; noise; sampling; shift-invariant space; frame; fourier

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APA (6th Edition):

Leonetti, C. C. (2007). Reconstruction from Error-Affected Sampled Data in Shift-Invariant Spaces. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03292007-180005/ ;

Chicago Manual of Style (16th Edition):

Leonetti, Casey Clark. “Reconstruction from Error-Affected Sampled Data in Shift-Invariant Spaces.” 2007. Doctoral Dissertation, Vanderbilt University. Accessed July 09, 2020. http://etd.library.vanderbilt.edu/available/etd-03292007-180005/ ;.

MLA Handbook (7th Edition):

Leonetti, Casey Clark. “Reconstruction from Error-Affected Sampled Data in Shift-Invariant Spaces.” 2007. Web. 09 Jul 2020.

Vancouver:

Leonetti CC. Reconstruction from Error-Affected Sampled Data in Shift-Invariant Spaces. [Internet] [Doctoral dissertation]. Vanderbilt University; 2007. [cited 2020 Jul 09]. Available from: http://etd.library.vanderbilt.edu/available/etd-03292007-180005/ ;.

Council of Science Editors:

Leonetti CC. Reconstruction from Error-Affected Sampled Data in Shift-Invariant Spaces. [Doctoral Dissertation]. Vanderbilt University; 2007. Available from: http://etd.library.vanderbilt.edu/available/etd-03292007-180005/ ;


University of Florida

12. Posirca, Iulia M. Variational Models for Simultaneous Image Segmentation and Noise Removal.

Degree: PhD, Mathematics, 2012, University of Florida

 We present two projects for simultaneous image segmentation and noise removal. The first project concerns the images corrupted with Gaussian noise and the second one… (more)

Subjects/Keywords: Data smoothing; Image processing; Image reconstruction; Imaging; Mathematics; Modeling; Pixels; Statistical models; Supernova remnants; Ultrasonography; image  – noise  – segmentation  – variational

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APA (6th Edition):

Posirca, I. M. (2012). Variational Models for Simultaneous Image Segmentation and Noise Removal. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044953

Chicago Manual of Style (16th Edition):

Posirca, Iulia M. “Variational Models for Simultaneous Image Segmentation and Noise Removal.” 2012. Doctoral Dissertation, University of Florida. Accessed July 09, 2020. https://ufdc.ufl.edu/UFE0044953.

MLA Handbook (7th Edition):

Posirca, Iulia M. “Variational Models for Simultaneous Image Segmentation and Noise Removal.” 2012. Web. 09 Jul 2020.

Vancouver:

Posirca IM. Variational Models for Simultaneous Image Segmentation and Noise Removal. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Jul 09]. Available from: https://ufdc.ufl.edu/UFE0044953.

Council of Science Editors:

Posirca IM. Variational Models for Simultaneous Image Segmentation and Noise Removal. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044953

13. Wang, Yi. Robust hybrid linear modeling and its applications.

Degree: PhD, Mathematics, 2012, University of Minnesota

 Hybrid Linear Modeling (HLM) uses a set of affine subspaces to model data and has been widely used in computer vision. However, many segmentation algorithms… (more)

Subjects/Keywords: Blind inpainting; Hybrid linear modeling; Impulsive noise; Low rank; Sparsity

noise and blind inpainting (i.e., inpainting when the deteriorated region is unknown)… …dimensional subspaces, corrupted by sparse but perhaps large magnitude noise. For this purpose, we… …corrupted with impulsive noise, and the problem of blind inpainting where the image has been… …corrupted with Gaussian noise as well as at standard inpainting with corruptions √ 4 in known… …the case of Gaussian noise, “best” is usually chosen to be measured by Frobenius norm, in… 

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APA (6th Edition):

Wang, Y. (2012). Robust hybrid linear modeling and its applications. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/139778

Chicago Manual of Style (16th Edition):

Wang, Yi. “Robust hybrid linear modeling and its applications.” 2012. Doctoral Dissertation, University of Minnesota. Accessed July 09, 2020. http://purl.umn.edu/139778.

MLA Handbook (7th Edition):

Wang, Yi. “Robust hybrid linear modeling and its applications.” 2012. Web. 09 Jul 2020.

Vancouver:

Wang Y. Robust hybrid linear modeling and its applications. [Internet] [Doctoral dissertation]. University of Minnesota; 2012. [cited 2020 Jul 09]. Available from: http://purl.umn.edu/139778.

Council of Science Editors:

Wang Y. Robust hybrid linear modeling and its applications. [Doctoral Dissertation]. University of Minnesota; 2012. Available from: http://purl.umn.edu/139778


University of Florida

14. Zhang, Haili. Mathematical Modeling for Image Segmentation and Restoration.

Degree: PhD, Mathematics, 2013, University of Florida

 This thesis is devoted to the formulation, implementation, and improvement of mathematical models and efficient algorithms for image segmentation and image restoration using tools based… (more)

Subjects/Keywords: Algorithms; Eigenfunctions; Gray matter; Histograms; Image processing; Images of transformations; Inhomogeneity; Noise intensity; Parametric models; Pixels; algorithm  – deblurring  – denoising  – nonparametric  – restoration  – segmentation

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APA (6th Edition):

Zhang, H. (2013). Mathematical Modeling for Image Segmentation and Restoration. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0045847

Chicago Manual of Style (16th Edition):

Zhang, Haili. “Mathematical Modeling for Image Segmentation and Restoration.” 2013. Doctoral Dissertation, University of Florida. Accessed July 09, 2020. https://ufdc.ufl.edu/UFE0045847.

MLA Handbook (7th Edition):

Zhang, Haili. “Mathematical Modeling for Image Segmentation and Restoration.” 2013. Web. 09 Jul 2020.

Vancouver:

Zhang H. Mathematical Modeling for Image Segmentation and Restoration. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2020 Jul 09]. Available from: https://ufdc.ufl.edu/UFE0045847.

Council of Science Editors:

Zhang H. Mathematical Modeling for Image Segmentation and Restoration. [Doctoral Dissertation]. University of Florida; 2013. Available from: https://ufdc.ufl.edu/UFE0045847


The Ohio State University

15. McKinley, Scott Alister. An existence result from the theory of fluctuating hydrodynamics of polymers in dilute solution.

Degree: PhD, Mathematics, 2006, The Ohio State University

  This work concerns the fluctuating hydrodynamics of various materials immersed in a fluid. Physically speaking, we work in a regime where macro- and microscopic… (more)

Subjects/Keywords: Mathematics; stochastic partial differential equation; polymer in dilute solution; stochastic Navier-Stokes; coloured noise

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APA (6th Edition):

McKinley, S. A. (2006). An existence result from the theory of fluctuating hydrodynamics of polymers in dilute solution. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1149020682

Chicago Manual of Style (16th Edition):

McKinley, Scott Alister. “An existence result from the theory of fluctuating hydrodynamics of polymers in dilute solution.” 2006. Doctoral Dissertation, The Ohio State University. Accessed July 09, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1149020682.

MLA Handbook (7th Edition):

McKinley, Scott Alister. “An existence result from the theory of fluctuating hydrodynamics of polymers in dilute solution.” 2006. Web. 09 Jul 2020.

Vancouver:

McKinley SA. An existence result from the theory of fluctuating hydrodynamics of polymers in dilute solution. [Internet] [Doctoral dissertation]. The Ohio State University; 2006. [cited 2020 Jul 09]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1149020682.

Council of Science Editors:

McKinley SA. An existence result from the theory of fluctuating hydrodynamics of polymers in dilute solution. [Doctoral Dissertation]. The Ohio State University; 2006. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1149020682

16. Hoang, Tuan A. Hybrid Stochastic Systems: Numerical Methods, Limit Results, And Controls.

Degree: PhD, Mathematics, 2017, Wayne State University

  This dissertation is concerned with the so-called stochastic hybrid systems, which are featured by the coexistence of continuous dynamics and discrete events and their… (more)

Subjects/Keywords: Hybrid Stochastic Systems; Limit Theorems; Markovian Switching; Milstein's scheme; Wide-band noise; Mathematics

…the noise is often non-Markovian and the so-called “white noise” is only an idealization and… …lieu of a Brownian motion noise, we use a wide-band noise formulation, which facilitates the… …treatment of non-Markovian models. The wide-band noise is one whose spectrum has band width wide… …enough. We work with a basic stationary mixing type process. On top of this wide-band noise… …noise 15 σk,l (t, x, i0 ) = σk,l (t, i0 ), or linear noise where σk,l… 

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APA (6th Edition):

Hoang, T. A. (2017). Hybrid Stochastic Systems: Numerical Methods, Limit Results, And Controls. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/1708

Chicago Manual of Style (16th Edition):

Hoang, Tuan A. “Hybrid Stochastic Systems: Numerical Methods, Limit Results, And Controls.” 2017. Doctoral Dissertation, Wayne State University. Accessed July 09, 2020. https://digitalcommons.wayne.edu/oa_dissertations/1708.

MLA Handbook (7th Edition):

Hoang, Tuan A. “Hybrid Stochastic Systems: Numerical Methods, Limit Results, And Controls.” 2017. Web. 09 Jul 2020.

Vancouver:

Hoang TA. Hybrid Stochastic Systems: Numerical Methods, Limit Results, And Controls. [Internet] [Doctoral dissertation]. Wayne State University; 2017. [cited 2020 Jul 09]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1708.

Council of Science Editors:

Hoang TA. Hybrid Stochastic Systems: Numerical Methods, Limit Results, And Controls. [Doctoral Dissertation]. Wayne State University; 2017. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1708


Texas Tech University

17. Li, Zhu. An inverse problem for linear dynamic systems with noise.

Degree: Mathematics, 1991, Texas Tech University

Subjects/Keywords: Random noise theory; Stochastic processes; Linear time invariant systems; Inverse problems (Differential equations); Stochastic analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, Z. (1991). An inverse problem for linear dynamic systems with noise. (Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/12006

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Zhu. “An inverse problem for linear dynamic systems with noise.” 1991. Thesis, Texas Tech University. Accessed July 09, 2020. http://hdl.handle.net/2346/12006.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Zhu. “An inverse problem for linear dynamic systems with noise.” 1991. Web. 09 Jul 2020.

Vancouver:

Li Z. An inverse problem for linear dynamic systems with noise. [Internet] [Thesis]. Texas Tech University; 1991. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/2346/12006.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li Z. An inverse problem for linear dynamic systems with noise. [Thesis]. Texas Tech University; 1991. Available from: http://hdl.handle.net/2346/12006

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas Tech University

18. Randeniya, Duminda I B. Filtering and estimating methodology in wildlife telemetry.

Degree: Mathematics, 2003, Texas Tech University

 Estimating the location of a free-ranging animal accurately from noisy directional data is treated here in this study by using two widely used filtering techniques… (more)

Subjects/Keywords: Telecommunication  – Research  – Mathematical mode; Electronic noise; Biotelemetry  – Research  – Mathematical models; Global positioning system (GPS); Kalman filtering  – Mathematical models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Randeniya, D. I. B. (2003). Filtering and estimating methodology in wildlife telemetry. (Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/14522

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Randeniya, Duminda I B. “Filtering and estimating methodology in wildlife telemetry.” 2003. Thesis, Texas Tech University. Accessed July 09, 2020. http://hdl.handle.net/2346/14522.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Randeniya, Duminda I B. “Filtering and estimating methodology in wildlife telemetry.” 2003. Web. 09 Jul 2020.

Vancouver:

Randeniya DIB. Filtering and estimating methodology in wildlife telemetry. [Internet] [Thesis]. Texas Tech University; 2003. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/2346/14522.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Randeniya DIB. Filtering and estimating methodology in wildlife telemetry. [Thesis]. Texas Tech University; 2003. Available from: http://hdl.handle.net/2346/14522

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

19. Jimenez, David. Two problems in signal quantization and A/D conversion.

Degree: PhD, Mathematics, 2008, Georgia Tech

 We consider two different problems in quantization theory. During the first part we discuss the so called Bennett's White Noise Hypothesis, introduced to study quantization… (more)

Subjects/Keywords: Encoder; Quantization; A/D Conversion; White noise theory; Frames (Vector analysis); Analog To Digital converters

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jimenez, D. (2008). Two problems in signal quantization and A/D conversion. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/24637

Chicago Manual of Style (16th Edition):

Jimenez, David. “Two problems in signal quantization and A/D conversion.” 2008. Doctoral Dissertation, Georgia Tech. Accessed July 09, 2020. http://hdl.handle.net/1853/24637.

MLA Handbook (7th Edition):

Jimenez, David. “Two problems in signal quantization and A/D conversion.” 2008. Web. 09 Jul 2020.

Vancouver:

Jimenez D. Two problems in signal quantization and A/D conversion. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/1853/24637.

Council of Science Editors:

Jimenez D. Two problems in signal quantization and A/D conversion. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/24637

20. Almada Monter, Sergio Angel. Scaling limit for the diffusion exit problem.

Degree: PhD, Mathematics, 2011, Georgia Tech

 A stochastic differential equation with vanishing martingale term is studied. Specifically, given a domain D, the asymptotic scaling properties of both the exit time from… (more)

Subjects/Keywords: Stochastic calculus; Small noise; Stochastic dynamics; Probability; Dynamical systems; Stochastic differential equations; Stochastic analysis; Dynamics

…drift vector field. The proof then proceeds by estimates that propagate the small noise nature… …stochastic pathwise expansions in noise intensity series. x CHAPTER I INTRODUCTION In this… …thesis we study the so called exit problem [34, Section 4.3] for small noise… …x5B;34], [52]. The small noise diffusion framework has attracted the interest… …the set of problems relating to small noise diffusion has found applications in climate… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Almada Monter, S. A. (2011). Scaling limit for the diffusion exit problem. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39518

Chicago Manual of Style (16th Edition):

Almada Monter, Sergio Angel. “Scaling limit for the diffusion exit problem.” 2011. Doctoral Dissertation, Georgia Tech. Accessed July 09, 2020. http://hdl.handle.net/1853/39518.

MLA Handbook (7th Edition):

Almada Monter, Sergio Angel. “Scaling limit for the diffusion exit problem.” 2011. Web. 09 Jul 2020.

Vancouver:

Almada Monter SA. Scaling limit for the diffusion exit problem. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/1853/39518.

Council of Science Editors:

Almada Monter SA. Scaling limit for the diffusion exit problem. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39518


Vilnius Gediminas Technical University

21. Rekašius, Tomas. Evoliucinis neinformatyvių genetinių sekų modelis.

Degree: Dissertation, Mathematics, 2007, Vilnius Gediminas Technical University

 The research object is probabilistic properties of non-coding DNA (nucleotide) sequences. Available models of DNA sequences are reviewed and their basic assumptions are verified by… (more)

Subjects/Keywords: Genetic noise; DNR; Neinformatyvi genetinė seka; Context-dependent model; Markovo grandinė; DNA; Kontekstinis mutavimo modelis; Non-informative genetic sequence; Markov chain; Genetinis triukšmas

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rekašius, T. (2007). Evoliucinis neinformatyvių genetinių sekų modelis. (Doctoral Dissertation). Vilnius Gediminas Technical University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_145727-37540 ;

Chicago Manual of Style (16th Edition):

Rekašius, Tomas. “Evoliucinis neinformatyvių genetinių sekų modelis.” 2007. Doctoral Dissertation, Vilnius Gediminas Technical University. Accessed July 09, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_145727-37540 ;.

MLA Handbook (7th Edition):

Rekašius, Tomas. “Evoliucinis neinformatyvių genetinių sekų modelis.” 2007. Web. 09 Jul 2020.

Vancouver:

Rekašius T. Evoliucinis neinformatyvių genetinių sekų modelis. [Internet] [Doctoral dissertation]. Vilnius Gediminas Technical University; 2007. [cited 2020 Jul 09]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_145727-37540 ;.

Council of Science Editors:

Rekašius T. Evoliucinis neinformatyvių genetinių sekų modelis. [Doctoral Dissertation]. Vilnius Gediminas Technical University; 2007. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_145727-37540 ;


Vilnius Gediminas Technical University

22. Rekašius, Tomas. Evoliucinis neinformatyvių genetinių sekų modelis.

Degree: PhD, Mathematics, 2007, Vilnius Gediminas Technical University

 The research object is probabilistic properties of non-coding DNA (nucleotide) sequences. Available models of DNA sequences are reviewed and their basic assumptions are verified by… (more)

Subjects/Keywords: Genetinis triukšmas; Context-dependent model; Neinformatyvi nukleotidų seka; Kontekstinis mutavimo modelis; Markovo grandinė; Genetic noise; DNR; Non-informative genetic sequence; Markov chain; DNA

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rekašius, T. (2007). Evoliucinis neinformatyvių genetinių sekų modelis. (Doctoral Dissertation). Vilnius Gediminas Technical University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_153620-92275 ;

Chicago Manual of Style (16th Edition):

Rekašius, Tomas. “Evoliucinis neinformatyvių genetinių sekų modelis.” 2007. Doctoral Dissertation, Vilnius Gediminas Technical University. Accessed July 09, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_153620-92275 ;.

MLA Handbook (7th Edition):

Rekašius, Tomas. “Evoliucinis neinformatyvių genetinių sekų modelis.” 2007. Web. 09 Jul 2020.

Vancouver:

Rekašius T. Evoliucinis neinformatyvių genetinių sekų modelis. [Internet] [Doctoral dissertation]. Vilnius Gediminas Technical University; 2007. [cited 2020 Jul 09]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_153620-92275 ;.

Council of Science Editors:

Rekašius T. Evoliucinis neinformatyvių genetinių sekų modelis. [Doctoral Dissertation]. Vilnius Gediminas Technical University; 2007. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20070320_153620-92275 ;

23. Rackauckas, Christopher Vincent. Simulation and Control of Biological Stochasticity.

Degree: Mathematics, 2018, University of California – Irvine

 Stochastic models of biochemical interactions elucidate essential properties of the network which are not accessible to deterministic modeling. In this thesis it is described how… (more)

Subjects/Keywords: Applied mathematics; Systematic biology; Developmental biology; adaptive time stepping; Julia; noise control; rejection sampling; Runge-Kutta; stochastic

…Strategy for Noise Attenuation. (A) A diagram of the retinoic acid (RA)… …the ζ distribution due to additive noise. The models were solved using the Euler-Maruyama… …Histograms depicting the ζ distribution due to multiplicative noise. The models were solved using… …the results were averaged. . . . . . . . . Noise Levels Distinguish Between Models and… …events. BP production was taken as 5, 15, . . . , 105 and Hox-Krox regulatory noise was taken… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rackauckas, C. V. (2018). Simulation and Control of Biological Stochasticity. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/4k41h9gz

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rackauckas, Christopher Vincent. “Simulation and Control of Biological Stochasticity.” 2018. Thesis, University of California – Irvine. Accessed July 09, 2020. http://www.escholarship.org/uc/item/4k41h9gz.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rackauckas, Christopher Vincent. “Simulation and Control of Biological Stochasticity.” 2018. Web. 09 Jul 2020.

Vancouver:

Rackauckas CV. Simulation and Control of Biological Stochasticity. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2020 Jul 09]. Available from: http://www.escholarship.org/uc/item/4k41h9gz.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rackauckas CV. Simulation and Control of Biological Stochasticity. [Thesis]. University of California – Irvine; 2018. Available from: http://www.escholarship.org/uc/item/4k41h9gz

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.