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You searched for +publisher:"McMaster University" +contributor:("Reilly, James P."). Showing records 1 – 13 of 13 total matches.

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McMaster University

1. Armanfard, Narges. Localized Feature Selection for Classification.

Degree: PhD, 2017, McMaster University

 <p>The main idea of this thesis is to present the novel concept of localized feature selection (LFS) for data classification and its application for coma… (more)

Subjects/Keywords: Local Feature Selection; Data Classification; Coma Outcome Prediction; Feature Selection

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APA (6th Edition):

Armanfard, N. (2017). Localized Feature Selection for Classification. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/20944

Chicago Manual of Style (16th Edition):

Armanfard, Narges. “Localized Feature Selection for Classification.” 2017. Doctoral Dissertation, McMaster University. Accessed June 20, 2019. http://hdl.handle.net/11375/20944.

MLA Handbook (7th Edition):

Armanfard, Narges. “Localized Feature Selection for Classification.” 2017. Web. 20 Jun 2019.

Vancouver:

Armanfard N. Localized Feature Selection for Classification. [Internet] [Doctoral dissertation]. McMaster University; 2017. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11375/20944.

Council of Science Editors:

Armanfard N. Localized Feature Selection for Classification. [Doctoral Dissertation]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/20944


McMaster University

2. Khodayari-Rostamabad, Ahmad. Novel Applications of Machine Learning in Pipeline Inspection and Neuroscience.

Degree: PhD, 2010, McMaster University

  In this thesis we develop and evaluate automated "expert systems" for two applications: (i) gas/oil pipeline inspection using magnetic flux leakage information, (ii) treatment… (more)

Subjects/Keywords: novel; applications; machine; learning; pipeline; neuroscience

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APA (6th Edition):

Khodayari-Rostamabad, A. (2010). Novel Applications of Machine Learning in Pipeline Inspection and Neuroscience. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/18963

Chicago Manual of Style (16th Edition):

Khodayari-Rostamabad, Ahmad. “Novel Applications of Machine Learning in Pipeline Inspection and Neuroscience.” 2010. Doctoral Dissertation, McMaster University. Accessed June 20, 2019. http://hdl.handle.net/11375/18963.

MLA Handbook (7th Edition):

Khodayari-Rostamabad, Ahmad. “Novel Applications of Machine Learning in Pipeline Inspection and Neuroscience.” 2010. Web. 20 Jun 2019.

Vancouver:

Khodayari-Rostamabad A. Novel Applications of Machine Learning in Pipeline Inspection and Neuroscience. [Internet] [Doctoral dissertation]. McMaster University; 2010. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11375/18963.

Council of Science Editors:

Khodayari-Rostamabad A. Novel Applications of Machine Learning in Pipeline Inspection and Neuroscience. [Doctoral Dissertation]. McMaster University; 2010. Available from: http://hdl.handle.net/11375/18963


McMaster University

3. Amineh, Reza K. Inverse Solutions in Electromagnetism with Applications in Biomedical Imaging and Non-Destructive Testing.

Degree: PhD, 2010, McMaster University

  This thesis presents solutions to several inverse problems m electromagnetism and microwave engineering. In general, these inverse problems belong to two applications: breast cancer… (more)

Subjects/Keywords: electrical and computer engineering; inverse solutions; electromagnetism; microwave engineering; biomedical imaging; non-destructive testing; magnetic flux leakage

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APA (6th Edition):

Amineh, R. K. (2010). Inverse Solutions in Electromagnetism with Applications in Biomedical Imaging and Non-Destructive Testing. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/18973

Chicago Manual of Style (16th Edition):

Amineh, Reza K. “Inverse Solutions in Electromagnetism with Applications in Biomedical Imaging and Non-Destructive Testing.” 2010. Doctoral Dissertation, McMaster University. Accessed June 20, 2019. http://hdl.handle.net/11375/18973.

MLA Handbook (7th Edition):

Amineh, Reza K. “Inverse Solutions in Electromagnetism with Applications in Biomedical Imaging and Non-Destructive Testing.” 2010. Web. 20 Jun 2019.

Vancouver:

Amineh RK. Inverse Solutions in Electromagnetism with Applications in Biomedical Imaging and Non-Destructive Testing. [Internet] [Doctoral dissertation]. McMaster University; 2010. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11375/18973.

Council of Science Editors:

Amineh RK. Inverse Solutions in Electromagnetism with Applications in Biomedical Imaging and Non-Destructive Testing. [Doctoral Dissertation]. McMaster University; 2010. Available from: http://hdl.handle.net/11375/18973


McMaster University

4. Salari, Sharif Siamak. REGULARIZED LATENT VARIABLE METHODS IN THE PRESENCE OF STRUCTURED NOISE AND THEIR APPLICATION IN THE ANALYSIS OF ELECTROENCEPHALOGRAM DATA.

Degree: PhD, 2012, McMaster University

 <p> This thesis provides new regression methods for the removal of structured noise in datasets. With multivariable data, the variables and the noise can be… (more)

Subjects/Keywords: LVM; PLS; EEG; Regression; PCA; eigenvalues; BCG; Bioimaging and biomedical optics; Biomedical; Biomedical devices and instrumentation; Process Control and Systems; Signal Processing; Bioimaging and biomedical optics

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APA (6th Edition):

Salari, S. S. (2012). REGULARIZED LATENT VARIABLE METHODS IN THE PRESENCE OF STRUCTURED NOISE AND THEIR APPLICATION IN THE ANALYSIS OF ELECTROENCEPHALOGRAM DATA. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/12567

Chicago Manual of Style (16th Edition):

Salari, Sharif Siamak. “REGULARIZED LATENT VARIABLE METHODS IN THE PRESENCE OF STRUCTURED NOISE AND THEIR APPLICATION IN THE ANALYSIS OF ELECTROENCEPHALOGRAM DATA.” 2012. Doctoral Dissertation, McMaster University. Accessed June 20, 2019. http://hdl.handle.net/11375/12567.

MLA Handbook (7th Edition):

Salari, Sharif Siamak. “REGULARIZED LATENT VARIABLE METHODS IN THE PRESENCE OF STRUCTURED NOISE AND THEIR APPLICATION IN THE ANALYSIS OF ELECTROENCEPHALOGRAM DATA.” 2012. Web. 20 Jun 2019.

Vancouver:

Salari SS. REGULARIZED LATENT VARIABLE METHODS IN THE PRESENCE OF STRUCTURED NOISE AND THEIR APPLICATION IN THE ANALYSIS OF ELECTROENCEPHALOGRAM DATA. [Internet] [Doctoral dissertation]. McMaster University; 2012. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11375/12567.

Council of Science Editors:

Salari SS. REGULARIZED LATENT VARIABLE METHODS IN THE PRESENCE OF STRUCTURED NOISE AND THEIR APPLICATION IN THE ANALYSIS OF ELECTROENCEPHALOGRAM DATA. [Doctoral Dissertation]. McMaster University; 2012. Available from: http://hdl.handle.net/11375/12567


McMaster University

5. Larocque, Jean-René. Advanced Bayesian methods for array signal processing.

Degree: PhD, 2001, McMaster University

 <p> This thesis focuses on the joint detection of the model order and the estimation of the parameters of interest, with applications to array signal… (more)

Subjects/Keywords: Electrical and Computer Engineering; Electrical and Computer Engineering

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APA (6th Edition):

Larocque, J. (2001). Advanced Bayesian methods for array signal processing. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/7051

Chicago Manual of Style (16th Edition):

Larocque, Jean-René. “Advanced Bayesian methods for array signal processing.” 2001. Doctoral Dissertation, McMaster University. Accessed June 20, 2019. http://hdl.handle.net/11375/7051.

MLA Handbook (7th Edition):

Larocque, Jean-René. “Advanced Bayesian methods for array signal processing.” 2001. Web. 20 Jun 2019.

Vancouver:

Larocque J. Advanced Bayesian methods for array signal processing. [Internet] [Doctoral dissertation]. McMaster University; 2001. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11375/7051.

Council of Science Editors:

Larocque J. Advanced Bayesian methods for array signal processing. [Doctoral Dissertation]. McMaster University; 2001. Available from: http://hdl.handle.net/11375/7051


McMaster University

6. Mourad, Nasser. Advances in Sparse Analysis with Applications to Blind Source Separation and EEG/MEG Signal Processing.

Degree: PhD, 2009, McMaster University

  The focus of this thesis is on the utilization of the sparsity concept in solving some challenging problems, e.g., finding a unique solution to… (more)

Subjects/Keywords: sparsity; signal; blind source; EEG/MEG; linear

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APA (6th Edition):

Mourad, N. (2009). Advances in Sparse Analysis with Applications to Blind Source Separation and EEG/MEG Signal Processing. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/17345

Chicago Manual of Style (16th Edition):

Mourad, Nasser. “Advances in Sparse Analysis with Applications to Blind Source Separation and EEG/MEG Signal Processing.” 2009. Doctoral Dissertation, McMaster University. Accessed June 20, 2019. http://hdl.handle.net/11375/17345.

MLA Handbook (7th Edition):

Mourad, Nasser. “Advances in Sparse Analysis with Applications to Blind Source Separation and EEG/MEG Signal Processing.” 2009. Web. 20 Jun 2019.

Vancouver:

Mourad N. Advances in Sparse Analysis with Applications to Blind Source Separation and EEG/MEG Signal Processing. [Internet] [Doctoral dissertation]. McMaster University; 2009. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11375/17345.

Council of Science Editors:

Mourad N. Advances in Sparse Analysis with Applications to Blind Source Separation and EEG/MEG Signal Processing. [Doctoral Dissertation]. McMaster University; 2009. Available from: http://hdl.handle.net/11375/17345


McMaster University

7. Rahbar, Kamran. Multichannel Blind Estimation Techniques: Blind System Identification and Blind Source Separation.

Degree: PhD, 2002, McMaster University

 <p> The focus of this thesis is on blind identification techniques for multi-input, multi-output (MIMO) systems. In this respect we study three problems: 1. The… (more)

Subjects/Keywords: Electrical and Computer Engineering; Electrical and Computer Engineering

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APA (6th Edition):

Rahbar, K. (2002). Multichannel Blind Estimation Techniques: Blind System Identification and Blind Source Separation. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/6031

Chicago Manual of Style (16th Edition):

Rahbar, Kamran. “Multichannel Blind Estimation Techniques: Blind System Identification and Blind Source Separation.” 2002. Doctoral Dissertation, McMaster University. Accessed June 20, 2019. http://hdl.handle.net/11375/6031.

MLA Handbook (7th Edition):

Rahbar, Kamran. “Multichannel Blind Estimation Techniques: Blind System Identification and Blind Source Separation.” 2002. Web. 20 Jun 2019.

Vancouver:

Rahbar K. Multichannel Blind Estimation Techniques: Blind System Identification and Blind Source Separation. [Internet] [Doctoral dissertation]. McMaster University; 2002. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11375/6031.

Council of Science Editors:

Rahbar K. Multichannel Blind Estimation Techniques: Blind System Identification and Blind Source Separation. [Doctoral Dissertation]. McMaster University; 2002. Available from: http://hdl.handle.net/11375/6031


McMaster University

8. Liu, Jing. Unitary Trace-Orthogonal Space-Time Block Codes in Multiple Antenna Wireless Communications.

Degree: PhD, 2008, McMaster University

  A multiple-input multiple-output (MIMO) communication system has the potential to provide reliable transmissions at high data rates. However, the computational cost of achieving this… (more)

Subjects/Keywords: multiple-input; multiple-output (MIMO); communication system; space-time block codes (STBC); orthogonality property; unitary

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APA (6th Edition):

Liu, J. (2008). Unitary Trace-Orthogonal Space-Time Block Codes in Multiple Antenna Wireless Communications. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/16679

Chicago Manual of Style (16th Edition):

Liu, Jing. “Unitary Trace-Orthogonal Space-Time Block Codes in Multiple Antenna Wireless Communications.” 2008. Doctoral Dissertation, McMaster University. Accessed June 20, 2019. http://hdl.handle.net/11375/16679.

MLA Handbook (7th Edition):

Liu, Jing. “Unitary Trace-Orthogonal Space-Time Block Codes in Multiple Antenna Wireless Communications.” 2008. Web. 20 Jun 2019.

Vancouver:

Liu J. Unitary Trace-Orthogonal Space-Time Block Codes in Multiple Antenna Wireless Communications. [Internet] [Doctoral dissertation]. McMaster University; 2008. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11375/16679.

Council of Science Editors:

Liu J. Unitary Trace-Orthogonal Space-Time Block Codes in Multiple Antenna Wireless Communications. [Doctoral Dissertation]. McMaster University; 2008. Available from: http://hdl.handle.net/11375/16679


McMaster University

9. Daly, Michael. Marginalized Particle Filtering for Blind System Identification.

Degree: MASc, 2004, McMaster University

 <p> This thesis develops a marginalized particle filtering algorithm for the blind system identification problem. The blind system identification problem arises in many fields, including… (more)

Subjects/Keywords: Electrical and Computer Engineering; Electrical and Computer Engineering

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APA (6th Edition):

Daly, M. (2004). Marginalized Particle Filtering for Blind System Identification. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/13105

Chicago Manual of Style (16th Edition):

Daly, Michael. “Marginalized Particle Filtering for Blind System Identification.” 2004. Masters Thesis, McMaster University. Accessed June 20, 2019. http://hdl.handle.net/11375/13105.

MLA Handbook (7th Edition):

Daly, Michael. “Marginalized Particle Filtering for Blind System Identification.” 2004. Web. 20 Jun 2019.

Vancouver:

Daly M. Marginalized Particle Filtering for Blind System Identification. [Internet] [Masters thesis]. McMaster University; 2004. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11375/13105.

Council of Science Editors:

Daly M. Marginalized Particle Filtering for Blind System Identification. [Masters Thesis]. McMaster University; 2004. Available from: http://hdl.handle.net/11375/13105


McMaster University

10. Huang, Xinping. Design of Linear Array Geometry for High Resolution Array Processing.

Degree: PhD, 1993, McMaster University

 <p> The linear array is one of the most important types of multi-element sensor arrays, being extensively used in radar, sonar, telecommunications, radio astronomy and… (more)

Subjects/Keywords: Electrical and Computer Engineering; Electrical and Computer Engineering

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APA (6th Edition):

Huang, X. (1993). Design of Linear Array Geometry for High Resolution Array Processing. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/8311

Chicago Manual of Style (16th Edition):

Huang, Xinping. “Design of Linear Array Geometry for High Resolution Array Processing.” 1993. Doctoral Dissertation, McMaster University. Accessed June 20, 2019. http://hdl.handle.net/11375/8311.

MLA Handbook (7th Edition):

Huang, Xinping. “Design of Linear Array Geometry for High Resolution Array Processing.” 1993. Web. 20 Jun 2019.

Vancouver:

Huang X. Design of Linear Array Geometry for High Resolution Array Processing. [Internet] [Doctoral dissertation]. McMaster University; 1993. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11375/8311.

Council of Science Editors:

Huang X. Design of Linear Array Geometry for High Resolution Array Processing. [Doctoral Dissertation]. McMaster University; 1993. Available from: http://hdl.handle.net/11375/8311


McMaster University

11. Chen, Wei-Guo. Detection of the number of signals in array signal processing.

Degree: PhD, 1991, McMaster University

  This thesis addresses the detection problem in array signal processing in two aspects: (a) detection problems in white noise environments; (b) detection problems in… (more)

Subjects/Keywords: Electrical and Computer Engineering; Electrical and Computer Engineering

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APA (6th Edition):

Chen, W. (1991). Detection of the number of signals in array signal processing. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/8387

Chicago Manual of Style (16th Edition):

Chen, Wei-Guo. “Detection of the number of signals in array signal processing.” 1991. Doctoral Dissertation, McMaster University. Accessed June 20, 2019. http://hdl.handle.net/11375/8387.

MLA Handbook (7th Edition):

Chen, Wei-Guo. “Detection of the number of signals in array signal processing.” 1991. Web. 20 Jun 2019.

Vancouver:

Chen W. Detection of the number of signals in array signal processing. [Internet] [Doctoral dissertation]. McMaster University; 1991. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11375/8387.

Council of Science Editors:

Chen W. Detection of the number of signals in array signal processing. [Doctoral Dissertation]. McMaster University; 1991. Available from: http://hdl.handle.net/11375/8387


McMaster University

12. Ng, William. Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods.

Degree: PhD, 2003, McMaster University

  This thesis focuses on joint model order detection and estimation of the parameters of interest, with applications to narrowband and wideband array signal processing… (more)

Subjects/Keywords: Electrical and Computer Engineering; Electrical and Computer Engineering

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APA (6th Edition):

Ng, W. (2003). Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/5921

Chicago Manual of Style (16th Edition):

Ng, William. “Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods.” 2003. Doctoral Dissertation, McMaster University. Accessed June 20, 2019. http://hdl.handle.net/11375/5921.

MLA Handbook (7th Edition):

Ng, William. “Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods.” 2003. Web. 20 Jun 2019.

Vancouver:

Ng W. Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods. [Internet] [Doctoral dissertation]. McMaster University; 2003. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11375/5921.

Council of Science Editors:

Ng W. Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods. [Doctoral Dissertation]. McMaster University; 2003. Available from: http://hdl.handle.net/11375/5921


McMaster University

13. Zia, Amin. Advanced Topics in Estimation and Information Theory.

Degree: PhD, 2007, McMaster University

  The main theme of this dissertation is statistical estimation and information theory. There are three related topics including "distributed estimation", "an information geometric approach… (more)

Subjects/Keywords: non linear state space; Bayesian filters; distributed estimation; Electrical and Computer Engineering; Engineering; Electrical and Computer Engineering

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APA (6th Edition):

Zia, A. (2007). Advanced Topics in Estimation and Information Theory. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/14041

Chicago Manual of Style (16th Edition):

Zia, Amin. “Advanced Topics in Estimation and Information Theory.” 2007. Doctoral Dissertation, McMaster University. Accessed June 20, 2019. http://hdl.handle.net/11375/14041.

MLA Handbook (7th Edition):

Zia, Amin. “Advanced Topics in Estimation and Information Theory.” 2007. Web. 20 Jun 2019.

Vancouver:

Zia A. Advanced Topics in Estimation and Information Theory. [Internet] [Doctoral dissertation]. McMaster University; 2007. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/11375/14041.

Council of Science Editors:

Zia A. Advanced Topics in Estimation and Information Theory. [Doctoral Dissertation]. McMaster University; 2007. Available from: http://hdl.handle.net/11375/14041

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