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University of Dayton

1.
Jin, Xiaodan.
Poisson Approximation to Image Sensor * Noise*.

Degree: MS(M.S.), Electrical Engineering, 2010, University of Dayton

URL: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1292306911

► POISSON APPROXIMATION OF IMAGE SENSOR NOISEName: Jin, XiaodanUniversity of DaytonAdvisor: Dr. K. HirakawaNoise is present in all images captured by image sensors. Due to photonemission…
(more)

Subjects/Keywords: Electrical Engineering; Image denoising; noise parameter estimation

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

APA (6^{th} Edition):

Jin, X. (2010). Poisson Approximation to Image Sensor Noise. (Masters Thesis). University of Dayton. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=dayton1292306911

Chicago Manual of Style (16^{th} Edition):

Jin, Xiaodan. “Poisson Approximation to Image Sensor Noise.” 2010. Masters Thesis, University of Dayton. Accessed August 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1292306911.

MLA Handbook (7^{th} Edition):

Jin, Xiaodan. “Poisson Approximation to Image Sensor Noise.” 2010. Web. 18 Aug 2019.

Vancouver:

Jin X. Poisson Approximation to Image Sensor Noise. [Internet] [Masters thesis]. University of Dayton; 2010. [cited 2019 Aug 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1292306911.

Council of Science Editors:

Jin X. Poisson Approximation to Image Sensor Noise. [Masters Thesis]. University of Dayton; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1292306911

University of Johannesburg

2.
Robbertse, Johannes Lodewickes.
* Estimation* of parameters and tests for

Degree: 2013, University of Johannesburg

URL: http://hdl.handle.net/10210/8570

►

D.Phil. (Mathematical Statistics)

Fractional Brownian motion and its increment process, fractional Gaussian *noise*, are syn- onymous with the concept of long range dependence. A strictly…
(more)

Subjects/Keywords: Gaussian processes; Random noise theory; Parameter estimation

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

APA (6^{th} Edition):

Robbertse, J. L. (2013). Estimation of parameters and tests for parameter changes in fractional Gaussian noise. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/8570

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Robbertse, Johannes Lodewickes. “Estimation of parameters and tests for parameter changes in fractional Gaussian noise.” 2013. Thesis, University of Johannesburg. Accessed August 18, 2019. http://hdl.handle.net/10210/8570.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Robbertse, Johannes Lodewickes. “Estimation of parameters and tests for parameter changes in fractional Gaussian noise.” 2013. Web. 18 Aug 2019.

Vancouver:

Robbertse JL. Estimation of parameters and tests for parameter changes in fractional Gaussian noise. [Internet] [Thesis]. University of Johannesburg; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10210/8570.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Robbertse JL. Estimation of parameters and tests for parameter changes in fractional Gaussian noise. [Thesis]. University of Johannesburg; 2013. Available from: http://hdl.handle.net/10210/8570

Not specified: Masters Thesis or Doctoral Dissertation

University of California – Berkeley

3. Young, Kevin Christopher. Controlling Quantum Systems for Quantum Information Processing.

Degree: Physics, 2010, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/67q490tx

► For several decades it has been appreciated that quantum computers hold incredible promise to perform calculations intractable to classical computation. However, this promise has be…
(more)

Subjects/Keywords: Theoretical Physics; Quantum physics; Noise Spectroscopy; Parameter Estimation; Quantum Computation; Quantum Information

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

APA (6^{th} Edition):

Young, K. C. (2010). Controlling Quantum Systems for Quantum Information Processing. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/67q490tx

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Young, Kevin Christopher. “Controlling Quantum Systems for Quantum Information Processing.” 2010. Thesis, University of California – Berkeley. Accessed August 18, 2019. http://www.escholarship.org/uc/item/67q490tx.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Young, Kevin Christopher. “Controlling Quantum Systems for Quantum Information Processing.” 2010. Web. 18 Aug 2019.

Vancouver:

Young KC. Controlling Quantum Systems for Quantum Information Processing. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2019 Aug 18]. Available from: http://www.escholarship.org/uc/item/67q490tx.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Young KC. Controlling Quantum Systems for Quantum Information Processing. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/67q490tx

Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

4.
Guo, Siming.
Improvements to power system dynamic load model *parameter* * estimation*.

Degree: PhD, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/97343

► Transient stability analysis is becoming increasingly important for power systems engineers and researchers. Accurate dynamic models are required, but aggregate load models are an area…
(more)

Subjects/Keywords: Dynamics; Fault; Induction motor; Load model; Noise; Parameter estimation; Phasor measurement unit; Power system; Sensitivity; Similarity measure; System identification; Transient stability

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

APA (6^{th} Edition):

Guo, S. (2017). Improvements to power system dynamic load model parameter estimation. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97343

Chicago Manual of Style (16^{th} Edition):

Guo, Siming. “Improvements to power system dynamic load model parameter estimation.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 18, 2019. http://hdl.handle.net/2142/97343.

MLA Handbook (7^{th} Edition):

Guo, Siming. “Improvements to power system dynamic load model parameter estimation.” 2017. Web. 18 Aug 2019.

Vancouver:

Guo S. Improvements to power system dynamic load model parameter estimation. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/2142/97343.

Council of Science Editors:

Guo S. Improvements to power system dynamic load model parameter estimation. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97343

Arizona State University

5.
Northrop, Judith.
Modeling and *Parameter* *Estimation* of Sea Clutter Intensity
in Thermal * Noise*.

Degree: Electrical Engineering, 2019, Arizona State University

URL: http://repository.asu.edu/items/53933

Subjects/Keywords: Electrical engineering; Compound K-distribution; curve fitting; parameter estimation; sea clutter; thermal noise

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

APA (6^{th} Edition):

Northrop, J. (2019). Modeling and Parameter Estimation of Sea Clutter Intensity in Thermal Noise. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/53933

Chicago Manual of Style (16^{th} Edition):

Northrop, Judith. “Modeling and Parameter Estimation of Sea Clutter Intensity in Thermal Noise.” 2019. Doctoral Dissertation, Arizona State University. Accessed August 18, 2019. http://repository.asu.edu/items/53933.

MLA Handbook (7^{th} Edition):

Northrop, Judith. “Modeling and Parameter Estimation of Sea Clutter Intensity in Thermal Noise.” 2019. Web. 18 Aug 2019.

Vancouver:

Northrop J. Modeling and Parameter Estimation of Sea Clutter Intensity in Thermal Noise. [Internet] [Doctoral dissertation]. Arizona State University; 2019. [cited 2019 Aug 18]. Available from: http://repository.asu.edu/items/53933.

Council of Science Editors:

Northrop J. Modeling and Parameter Estimation of Sea Clutter Intensity in Thermal Noise. [Doctoral Dissertation]. Arizona State University; 2019. Available from: http://repository.asu.edu/items/53933

University of Oulu

6. Taparugssanagorn, A. (Attaphongse). Evaluation of MIMO radio channel characteristics from TDM-switched MIMO channel sounding.

Degree: 2007, University of Oulu

URL: http://urn.fi/urn:isbn:9789514286506

► Abstract The present dissertation deals with the evaluation of multiple-input multiple-output (MIMO) radio channel characteristics from time-division multiplexing (TDM)-switched MIMO channel sounding. The research can…
(more)

Subjects/Keywords: TDM-switched MIMO channel sounding; channel capacity; channel characteristic; channel parameter estimation; phase noise

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

APA (6^{th} Edition):

Taparugssanagorn, A. (. (2007). Evaluation of MIMO radio channel characteristics from TDM-switched MIMO channel sounding. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789514286506

Chicago Manual of Style (16^{th} Edition):

Taparugssanagorn, A (Attaphongse). “Evaluation of MIMO radio channel characteristics from TDM-switched MIMO channel sounding.” 2007. Doctoral Dissertation, University of Oulu. Accessed August 18, 2019. http://urn.fi/urn:isbn:9789514286506.

MLA Handbook (7^{th} Edition):

Taparugssanagorn, A (Attaphongse). “Evaluation of MIMO radio channel characteristics from TDM-switched MIMO channel sounding.” 2007. Web. 18 Aug 2019.

Vancouver:

Taparugssanagorn A(. Evaluation of MIMO radio channel characteristics from TDM-switched MIMO channel sounding. [Internet] [Doctoral dissertation]. University of Oulu; 2007. [cited 2019 Aug 18]. Available from: http://urn.fi/urn:isbn:9789514286506.

Council of Science Editors:

Taparugssanagorn A(. Evaluation of MIMO radio channel characteristics from TDM-switched MIMO channel sounding. [Doctoral Dissertation]. University of Oulu; 2007. Available from: http://urn.fi/urn:isbn:9789514286506

Indian Institute of Science

7.
Anilkumar, A K.
Application Of Controlled Random Search Optimization Technique In MMLE With Process * Noise*.

Degree: 2000, Indian Institute of Science

URL: http://hdl.handle.net/2005/232

► Generally in most of the applications of *estimation* theory using the Method of Maximum Likelihood *Estimation* (MMLE) to dynamical systems one deals with a situation…
(more)

Subjects/Keywords: Aerospace Engineering; Estimation Theory; Kalman Filter; Aircraft - Random Search Optimization; Method of Maximum Likelihood Estimation(MMLE); Parameter Estimation; Controlled Random Search (CRS); Process Noise; Extended Kalman Filter (EKF)

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

APA (6^{th} Edition):

Anilkumar, A. K. (2000). Application Of Controlled Random Search Optimization Technique In MMLE With Process Noise. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/232

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Anilkumar, A K. “Application Of Controlled Random Search Optimization Technique In MMLE With Process Noise.” 2000. Thesis, Indian Institute of Science. Accessed August 18, 2019. http://hdl.handle.net/2005/232.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Anilkumar, A K. “Application Of Controlled Random Search Optimization Technique In MMLE With Process Noise.” 2000. Web. 18 Aug 2019.

Vancouver:

Anilkumar AK. Application Of Controlled Random Search Optimization Technique In MMLE With Process Noise. [Internet] [Thesis]. Indian Institute of Science; 2000. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/2005/232.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Anilkumar AK. Application Of Controlled Random Search Optimization Technique In MMLE With Process Noise. [Thesis]. Indian Institute of Science; 2000. Available from: http://hdl.handle.net/2005/232

Not specified: Masters Thesis or Doctoral Dissertation

Queensland University of Technology

8.
Sando, Simon Andrew.
* Estimation* of a class of nonlinear time series models.

Degree: 2004, Queensland University of Technology

URL: https://eprints.qut.edu.au/15985/

► The *estimation* and analysis of signals that have polynomial phase and constant or time-varying amplitudes with the addititve *noise* is considered in this dissertation.Much work…
(more)

Subjects/Keywords: nonlinear time series models; nonlinear transformations; true noise phase curve; parameter iterative refinement; iterative refinement techniques; regression; time-varying amplitudes; polynomial phase; additive noise; estimation and analysis; estimation and analysis of nonlinear time series models; high signal to noise ratios; low signal to noise ratios; efficient estimations; sequential estimations; demodulatin; highest order parameter; phase coefficients; stastitical analysis; bayesian estimation.

Record Details Similar Records

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

APA (6^{th} Edition):

Sando, S. A. (2004). Estimation of a class of nonlinear time series models. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/15985/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Sando, Simon Andrew. “Estimation of a class of nonlinear time series models.” 2004. Thesis, Queensland University of Technology. Accessed August 18, 2019. https://eprints.qut.edu.au/15985/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sando, Simon Andrew. “Estimation of a class of nonlinear time series models.” 2004. Web. 18 Aug 2019.

Vancouver:

Sando SA. Estimation of a class of nonlinear time series models. [Internet] [Thesis]. Queensland University of Technology; 2004. [cited 2019 Aug 18]. Available from: https://eprints.qut.edu.au/15985/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sando SA. Estimation of a class of nonlinear time series models. [Thesis]. Queensland University of Technology; 2004. Available from: https://eprints.qut.edu.au/15985/

Not specified: Masters Thesis or Doctoral Dissertation

Queensland University of Technology

9. Farquharson, Maree Louise. Estimating the parameters of polynomial phase signals.

Degree: 2006, Queensland University of Technology

URL: https://eprints.qut.edu.au/16312/

► Nonstationary signals are common in many environments such as radar, sonar, bioengineering and power systems. The nonstationary nature of the signals found in these environments…
(more)

Subjects/Keywords: parameter estimation; signal-to-noise ratio; higher order phase signals; multicomponent phase signals; cubic phase function; higher order phase function; lower signal-to-noise ratio cubic phase function; computational complexity; signal-to-noise ratio threshold; mean square error; Cramer-Rao lower bound; Monte Carlo simulations; applications

Record Details Similar Records

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

APA (6^{th} Edition):

Farquharson, M. L. (2006). Estimating the parameters of polynomial phase signals. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/16312/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Farquharson, Maree Louise. “Estimating the parameters of polynomial phase signals.” 2006. Thesis, Queensland University of Technology. Accessed August 18, 2019. https://eprints.qut.edu.au/16312/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Farquharson, Maree Louise. “Estimating the parameters of polynomial phase signals.” 2006. Web. 18 Aug 2019.

Vancouver:

Farquharson ML. Estimating the parameters of polynomial phase signals. [Internet] [Thesis]. Queensland University of Technology; 2006. [cited 2019 Aug 18]. Available from: https://eprints.qut.edu.au/16312/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Farquharson ML. Estimating the parameters of polynomial phase signals. [Thesis]. Queensland University of Technology; 2006. Available from: https://eprints.qut.edu.au/16312/

Not specified: Masters Thesis or Doctoral Dissertation

10.
Acosta Argueta, Lesly María.
Particle filtering *estimation* for linear and nonlinear state-space models.

Degree: Departament d'Estadística i Investigació Operativa, 2013, Universitat Politècnica de Catalunya

URL: http://hdl.handle.net/10803/134356

► La estimación secuencial de los estados (filtrado) y la correspondiente estimación simultánea de los estados y los parámetros fijos de un modelo dinámico formulado en…
(more)

Subjects/Keywords: Particle filtering; Sequential Monte Carlo method; Kalman filter; Parameter estimation; State-space model; Linear local level and AR(1) plus noise models; Nonlinear stochastic volatility model; Residual and stratified resampling; Signal-to-Noise ratio; 311

…potential impact on *estimation* of the discount factor
*parameter*, the time series length, and the… …195
Simulation Study II: State & *Parameter* *Estimation* in the Nonlinear SARV(1)… …distribution for *parameter* φ of the AR(1) plus *noise* model specified in equa-
tion… …147
SIRJ: Posterior distribution for *parameter* φ of the AR(1) plus *noise* model… …meine Dankbarkeit in Worte zu fassen. Innigen Dank!
A BSTRACT
The sequential *estimation* of…

Record Details Similar Records

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

APA (6^{th} Edition):

Acosta Argueta, L. M. (2013). Particle filtering estimation for linear and nonlinear state-space models. (Thesis). Universitat Politècnica de Catalunya. Retrieved from http://hdl.handle.net/10803/134356

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Acosta Argueta, Lesly María. “Particle filtering estimation for linear and nonlinear state-space models.” 2013. Thesis, Universitat Politècnica de Catalunya. Accessed August 18, 2019. http://hdl.handle.net/10803/134356.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Acosta Argueta, Lesly María. “Particle filtering estimation for linear and nonlinear state-space models.” 2013. Web. 18 Aug 2019.

Vancouver:

Acosta Argueta LM. Particle filtering estimation for linear and nonlinear state-space models. [Internet] [Thesis]. Universitat Politècnica de Catalunya; 2013. [cited 2019 Aug 18]. Available from: http://hdl.handle.net/10803/134356.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Acosta Argueta LM. Particle filtering estimation for linear and nonlinear state-space models. [Thesis]. Universitat Politècnica de Catalunya; 2013. Available from: http://hdl.handle.net/10803/134356

Not specified: Masters Thesis or Doctoral Dissertation