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You searched for subject:(noise parameter estimation). Showing records 1 – 10 of 10 total matches.

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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

 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 (6th 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 (16th 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 (7th 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 parameter changes in fractional Gaussian noise.

Degree: 2013, University of Johannesburg

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 (6th 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 (16th 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 (7th 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

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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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 (6th 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 (16th 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 (7th 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

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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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.

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APA (6th 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/

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):

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/.

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

MLA Handbook (7th 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/.

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

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

 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

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APA (6th 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/

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):

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/.

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

MLA Handbook (7th 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/.

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

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

 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… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7 Sample image

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

.