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Ryerson University

1. Arani, Maryam Nematollahi. Robust Image Labeling Using Conditional Random Fields.

Degree: 2017, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A6670

► Object recognition has become a central topic in computer vision applications such as image search, robotics and vehicle safety systems. However, it is a challenging…
(more)

Subjects/Keywords: Image processing – Digital technology – Mathematical models; Image processing – Statistical methods; Stochastic processes; Signal processing – Statistical methods; Random fields

Record Details Similar Records

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

APA (6^{th} Edition):

Arani, M. N. (2017). Robust Image Labeling Using Conditional Random Fields. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A6670

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):

Arani, Maryam Nematollahi. “Robust Image Labeling Using Conditional Random Fields.” 2017. Thesis, Ryerson University. Accessed January 19, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A6670.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Arani, Maryam Nematollahi. “Robust Image Labeling Using Conditional Random Fields.” 2017. Web. 19 Jan 2020.

Vancouver:

Arani MN. Robust Image Labeling Using Conditional Random Fields. [Internet] [Thesis]. Ryerson University; 2017. [cited 2020 Jan 19]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6670.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Arani MN. Robust Image Labeling Using Conditional Random Fields. [Thesis]. Ryerson University; 2017. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6670

Not specified: Masters Thesis or Doctoral Dissertation

Oregon State University

2. Behmard, Hamid R. Nonperiodic sampling theorems and filter banks.

Degree: PhD, Mathematics, 1999, Oregon State University

URL: http://hdl.handle.net/1957/16323

► Sampling theorems provide exact interpolation formulas for bandlimited functions. They play a fundamental role in *signal* *processing*. A function is called bandlimited if its Fourier…
(more)

Subjects/Keywords: Signal processing – Statistical methods

Record Details Similar Records

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

APA (6^{th} Edition):

Behmard, H. R. (1999). Nonperiodic sampling theorems and filter banks. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/16323

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

Behmard, Hamid R. “Nonperiodic sampling theorems and filter banks.” 1999. Doctoral Dissertation, Oregon State University. Accessed January 19, 2020. http://hdl.handle.net/1957/16323.

MLA Handbook (7^{th} Edition):

Behmard, Hamid R. “Nonperiodic sampling theorems and filter banks.” 1999. Web. 19 Jan 2020.

Vancouver:

Behmard HR. Nonperiodic sampling theorems and filter banks. [Internet] [Doctoral dissertation]. Oregon State University; 1999. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1957/16323.

Council of Science Editors:

Behmard HR. Nonperiodic sampling theorems and filter banks. [Doctoral Dissertation]. Oregon State University; 1999. Available from: http://hdl.handle.net/1957/16323

Michigan State University

3. Wang, Yingxu. Sample and hold functions and non-minimum-phase systems.

Degree: 2014, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:3014

►

Thesis M.S. Michigan State University. Engineering Mechanics - Master of Science 2014.

ABSTRACTSAMPLE AND HOLD FUNCTIONS AND NON-MINIMUM-PHASE SYSTEMSByYingxu WangWith the same initial condition, a… (more)

Subjects/Keywords: Signal processing – Digital techniques – Mathematics; Sampling (Statistics); Engineering – Statistical methods; Engineering

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

APA (6^{th} Edition):

Wang, Y. (2014). Sample and hold functions and non-minimum-phase systems. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:3014

Not specified: Masters Thesis or Doctoral Dissertation

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

Wang, Yingxu. “Sample and hold functions and non-minimum-phase systems.” 2014. Thesis, Michigan State University. Accessed January 19, 2020. http://etd.lib.msu.edu/islandora/object/etd:3014.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wang, Yingxu. “Sample and hold functions and non-minimum-phase systems.” 2014. Web. 19 Jan 2020.

Vancouver:

Wang Y. Sample and hold functions and non-minimum-phase systems. [Internet] [Thesis]. Michigan State University; 2014. [cited 2020 Jan 19]. Available from: http://etd.lib.msu.edu/islandora/object/etd:3014.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang Y. Sample and hold functions and non-minimum-phase systems. [Thesis]. Michigan State University; 2014. Available from: http://etd.lib.msu.edu/islandora/object/etd:3014

Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

4. Fung, Carrson Chee-Ho. Eigensystem based techniques for blind channel estimation and equalization.

Degree: 2005, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-2462 ; https://doi.org/10.14711/thesis-b864006 ; http://repository.ust.hk/ir/bitstream/1783.1-2462/1/th_redirect.html

► Channel estimation and equalization form an integral part of modern communi-cation systems. Proper equalizer design can counteract channel distortions such as intersymbol interference (ISI), additive…
(more)

Subjects/Keywords: Signal processing – Statistical methods ; Eigenfunctions

Record Details Similar Records

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

APA (6^{th} Edition):

Fung, C. C. (2005). Eigensystem based techniques for blind channel estimation and equalization. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-2462 ; https://doi.org/10.14711/thesis-b864006 ; http://repository.ust.hk/ir/bitstream/1783.1-2462/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

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

Fung, Carrson Chee-Ho. “Eigensystem based techniques for blind channel estimation and equalization.” 2005. Thesis, Hong Kong University of Science and Technology. Accessed January 19, 2020. http://repository.ust.hk/ir/Record/1783.1-2462 ; https://doi.org/10.14711/thesis-b864006 ; http://repository.ust.hk/ir/bitstream/1783.1-2462/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Fung, Carrson Chee-Ho. “Eigensystem based techniques for blind channel estimation and equalization.” 2005. Web. 19 Jan 2020.

Vancouver:

Fung CC. Eigensystem based techniques for blind channel estimation and equalization. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2005. [cited 2020 Jan 19]. Available from: http://repository.ust.hk/ir/Record/1783.1-2462 ; https://doi.org/10.14711/thesis-b864006 ; http://repository.ust.hk/ir/bitstream/1783.1-2462/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fung CC. Eigensystem based techniques for blind channel estimation and equalization. [Thesis]. Hong Kong University of Science and Technology; 2005. Available from: http://repository.ust.hk/ir/Record/1783.1-2462 ; https://doi.org/10.14711/thesis-b864006 ; http://repository.ust.hk/ir/bitstream/1783.1-2462/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

Columbia University

5.
Elmas, Abdulkadir.
Topics in *Signal* *Processing*: applications in genomics and genetics.

Degree: 2016, Columbia University

URL: https://doi.org/10.7916/D81Z44NP

► The information in genomic or genetic data is influenced by various complex processes and appropriate mathematical modeling is required for studying the underlying processes and…
(more)

Subjects/Keywords: Signal processing; Signal processing – Statistical methods; Genetics – Data processing; Genomics – Data processing; Bioinformatics; Transcription factors; Electrical engineering

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

APA (6^{th} Edition):

Elmas, A. (2016). Topics in Signal Processing: applications in genomics and genetics. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D81Z44NP

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

Elmas, Abdulkadir. “Topics in Signal Processing: applications in genomics and genetics.” 2016. Doctoral Dissertation, Columbia University. Accessed January 19, 2020. https://doi.org/10.7916/D81Z44NP.

MLA Handbook (7^{th} Edition):

Elmas, Abdulkadir. “Topics in Signal Processing: applications in genomics and genetics.” 2016. Web. 19 Jan 2020.

Vancouver:

Elmas A. Topics in Signal Processing: applications in genomics and genetics. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2020 Jan 19]. Available from: https://doi.org/10.7916/D81Z44NP.

Council of Science Editors:

Elmas A. Topics in Signal Processing: applications in genomics and genetics. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D81Z44NP

University of Michigan

6.
Jin, Curtis.
New *Methods* and Theory for Increasing Transmission of Light through Highly-Scattering Random Media.

Degree: PhD, Electrical Engineering: Systems, 2014, University of Michigan

URL: http://hdl.handle.net/2027.42/107051

► Scattering hinders the passage of light through random media and consequently limits the usefulness of optical techniques for sensing and imaging. Thus, *methods* for increasing…
(more)

Subjects/Keywords: Wave Propagation; Scattering; Random Matrix Theory; Numerical Methods; Iterative Methods; Statistical Signal Processing; Electrical Engineering; Engineering; Science

Record Details Similar Records

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

APA (6^{th} Edition):

Jin, C. (2014). New Methods and Theory for Increasing Transmission of Light through Highly-Scattering Random Media. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/107051

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

Jin, Curtis. “New Methods and Theory for Increasing Transmission of Light through Highly-Scattering Random Media.” 2014. Doctoral Dissertation, University of Michigan. Accessed January 19, 2020. http://hdl.handle.net/2027.42/107051.

MLA Handbook (7^{th} Edition):

Jin, Curtis. “New Methods and Theory for Increasing Transmission of Light through Highly-Scattering Random Media.” 2014. Web. 19 Jan 2020.

Vancouver:

Jin C. New Methods and Theory for Increasing Transmission of Light through Highly-Scattering Random Media. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/2027.42/107051.

Council of Science Editors:

Jin C. New Methods and Theory for Increasing Transmission of Light through Highly-Scattering Random Media. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/107051

7. Archer, Cynthia. A framework for representing non-stationary data with mixtures of linear models.

Degree: PhD, 2002, Oregon Health Sciences University

URL: doi:10.6083/M47P8WB5 ; http://digitalcommons.ohsu.edu/etd/176

Subjects/Keywords: Signal processing – Digital techniques – Mathematics; Signal processing – Statistical methods; Principal components analysis

Record Details Similar Records

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

APA (6^{th} Edition):

Archer, C. (2002). A framework for representing non-stationary data with mixtures of linear models. (Doctoral Dissertation). Oregon Health Sciences University. Retrieved from doi:10.6083/M47P8WB5 ; http://digitalcommons.ohsu.edu/etd/176

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

Archer, Cynthia. “A framework for representing non-stationary data with mixtures of linear models.” 2002. Doctoral Dissertation, Oregon Health Sciences University. Accessed January 19, 2020. doi:10.6083/M47P8WB5 ; http://digitalcommons.ohsu.edu/etd/176.

MLA Handbook (7^{th} Edition):

Archer, Cynthia. “A framework for representing non-stationary data with mixtures of linear models.” 2002. Web. 19 Jan 2020.

Vancouver:

Archer C. A framework for representing non-stationary data with mixtures of linear models. [Internet] [Doctoral dissertation]. Oregon Health Sciences University; 2002. [cited 2020 Jan 19]. Available from: doi:10.6083/M47P8WB5 ; http://digitalcommons.ohsu.edu/etd/176.

Council of Science Editors:

Archer C. A framework for representing non-stationary data with mixtures of linear models. [Doctoral Dissertation]. Oregon Health Sciences University; 2002. Available from: doi:10.6083/M47P8WB5 ; http://digitalcommons.ohsu.edu/etd/176

University of Hong Kong

8. Vong, Chun-yin. Performance study of uniform sampling digital phase-locked loopsfor [Pi]/4-differentially encoded quaternary phase-shift keying.

Degree: M. Phil., 1998, University of Hong Kong

URL: Vong, C. [黃俊賢]. (1998). Performance study of uniform sampling digital phase-locked loops for [Pi]/4-differentially encoded quaternary phase-shift keying. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122181 ; http://dx.doi.org/10.5353/th_b3122181 ; http://hdl.handle.net/10722/34143

published_or_final_version

Electrical and Electronic Engineering

Master

Master of Philosophy

Subjects/Keywords: Demodulation (Electronics); Signal processing - Statistical methods.; Phase-locked loops.

Record Details Similar Records

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

APA (6^{th} Edition):

Vong, C. (1998). Performance study of uniform sampling digital phase-locked loopsfor [Pi]/4-differentially encoded quaternary phase-shift keying. (Masters Thesis). University of Hong Kong. Retrieved from Vong, C. [黃俊賢]. (1998). Performance study of uniform sampling digital phase-locked loops for [Pi]/4-differentially encoded quaternary phase-shift keying. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122181 ; http://dx.doi.org/10.5353/th_b3122181 ; http://hdl.handle.net/10722/34143

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

Vong, Chun-yin. “Performance study of uniform sampling digital phase-locked loopsfor [Pi]/4-differentially encoded quaternary phase-shift keying.” 1998. Masters Thesis, University of Hong Kong. Accessed January 19, 2020. Vong, C. [黃俊賢]. (1998). Performance study of uniform sampling digital phase-locked loops for [Pi]/4-differentially encoded quaternary phase-shift keying. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122181 ; http://dx.doi.org/10.5353/th_b3122181 ; http://hdl.handle.net/10722/34143.

MLA Handbook (7^{th} Edition):

Vong, Chun-yin. “Performance study of uniform sampling digital phase-locked loopsfor [Pi]/4-differentially encoded quaternary phase-shift keying.” 1998. Web. 19 Jan 2020.

Vancouver:

Vong C. Performance study of uniform sampling digital phase-locked loopsfor [Pi]/4-differentially encoded quaternary phase-shift keying. [Internet] [Masters thesis]. University of Hong Kong; 1998. [cited 2020 Jan 19]. Available from: Vong, C. [黃俊賢]. (1998). Performance study of uniform sampling digital phase-locked loops for [Pi]/4-differentially encoded quaternary phase-shift keying. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122181 ; http://dx.doi.org/10.5353/th_b3122181 ; http://hdl.handle.net/10722/34143.

Council of Science Editors:

Vong C. Performance study of uniform sampling digital phase-locked loopsfor [Pi]/4-differentially encoded quaternary phase-shift keying. [Masters Thesis]. University of Hong Kong; 1998. Available from: Vong, C. [黃俊賢]. (1998). Performance study of uniform sampling digital phase-locked loops for [Pi]/4-differentially encoded quaternary phase-shift keying. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3122181 ; http://dx.doi.org/10.5353/th_b3122181 ; http://hdl.handle.net/10722/34143

University of Hong Kong

9. 鄒月嫻; Zou, Yuexian. Robust statistics based adaptive filtering algorithms for impulsive noise suppression.

Degree: PhD, 2000, University of Hong Kong

URL: http://hdl.handle.net/10722/27149

► (Uncorrected OCR) Abstract Abstract of thesis entitled Robust Statistics Based Adaptive Filtering Algorithms For Impulsive Noise Suppression Submitted by Yuexian Zou for the degree of…
(more)

Subjects/Keywords: Robust statistics.; Adaptive filters.; Signal processing - Statistical methods.

Record Details Similar Records

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

APA (6^{th} Edition):

鄒月嫻; Zou, Y. (2000). Robust statistics based adaptive filtering algorithms for impulsive noise suppression. (Doctoral Dissertation). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/27149

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

鄒月嫻; Zou, Yuexian. “Robust statistics based adaptive filtering algorithms for impulsive noise suppression.” 2000. Doctoral Dissertation, University of Hong Kong. Accessed January 19, 2020. http://hdl.handle.net/10722/27149.

MLA Handbook (7^{th} Edition):

鄒月嫻; Zou, Yuexian. “Robust statistics based adaptive filtering algorithms for impulsive noise suppression.” 2000. Web. 19 Jan 2020.

Vancouver:

鄒月嫻; Zou Y. Robust statistics based adaptive filtering algorithms for impulsive noise suppression. [Internet] [Doctoral dissertation]. University of Hong Kong; 2000. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/10722/27149.

Council of Science Editors:

鄒月嫻; Zou Y. Robust statistics based adaptive filtering algorithms for impulsive noise suppression. [Doctoral Dissertation]. University of Hong Kong; 2000. Available from: http://hdl.handle.net/10722/27149

University of Hong Kong

10. Lau, Wing-yi. New recursive parameter estimation algorithms in impulsive noise environment with application to frequency estimation and systemidentification.

Degree: M. Phil., 2006, University of Hong Kong

URL: Lau, W. [劉穎兒]. (2006). New recursive parameter estimation algorithms in impulsive noise environment with application to frequency estimation and system identification. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3759586 ; http://dx.doi.org/10.5353/th_b3759586 ; http://hdl.handle.net/10722/51460

published_or_final_version

abstract

Electrical and Electronic Engineering

Master

Master of Philosophy

Subjects/Keywords: Algorithms.; Parameter estimation.; Signal processing - Statistical methods.

Record Details Similar Records

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

APA (6^{th} Edition):

Lau, W. (2006). New recursive parameter estimation algorithms in impulsive noise environment with application to frequency estimation and systemidentification. (Masters Thesis). University of Hong Kong. Retrieved from Lau, W. [劉穎兒]. (2006). New recursive parameter estimation algorithms in impulsive noise environment with application to frequency estimation and system identification. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3759586 ; http://dx.doi.org/10.5353/th_b3759586 ; http://hdl.handle.net/10722/51460

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

Lau, Wing-yi. “New recursive parameter estimation algorithms in impulsive noise environment with application to frequency estimation and systemidentification.” 2006. Masters Thesis, University of Hong Kong. Accessed January 19, 2020. Lau, W. [劉穎兒]. (2006). New recursive parameter estimation algorithms in impulsive noise environment with application to frequency estimation and system identification. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3759586 ; http://dx.doi.org/10.5353/th_b3759586 ; http://hdl.handle.net/10722/51460.

MLA Handbook (7^{th} Edition):

Lau, Wing-yi. “New recursive parameter estimation algorithms in impulsive noise environment with application to frequency estimation and systemidentification.” 2006. Web. 19 Jan 2020.

Vancouver:

Lau W. New recursive parameter estimation algorithms in impulsive noise environment with application to frequency estimation and systemidentification. [Internet] [Masters thesis]. University of Hong Kong; 2006. [cited 2020 Jan 19]. Available from: Lau, W. [劉穎兒]. (2006). New recursive parameter estimation algorithms in impulsive noise environment with application to frequency estimation and system identification. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3759586 ; http://dx.doi.org/10.5353/th_b3759586 ; http://hdl.handle.net/10722/51460.

Council of Science Editors:

Lau W. New recursive parameter estimation algorithms in impulsive noise environment with application to frequency estimation and systemidentification. [Masters Thesis]. University of Hong Kong; 2006. Available from: Lau, W. [劉穎兒]. (2006). New recursive parameter estimation algorithms in impulsive noise environment with application to frequency estimation and system identification. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b3759586 ; http://dx.doi.org/10.5353/th_b3759586 ; http://hdl.handle.net/10722/51460

Arizona State University

11. Dutson, Karl J. Target Tracking in Environments of Rapidly Changing Clutter.

Degree: Electrical Engineering, 2015, Arizona State University

URL: http://repository.asu.edu/items/29894

► Tracking targets in the presence of clutter is inevitable, and presents many challenges. Additionally, rapid, drastic changes in clutter density between different environments or scenarios…
(more)

Subjects/Keywords: Electrical engineering; Statistics; Computer science; Clutter Mitigation; Electrical Engineering; Interacting Multiple Model; Monte Carlo Methods; Radar Target Tracking; Statistical Signal Processing

Record Details Similar Records

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

APA (6^{th} Edition):

Dutson, K. J. (2015). Target Tracking in Environments of Rapidly Changing Clutter. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/29894

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

Dutson, Karl J. “Target Tracking in Environments of Rapidly Changing Clutter.” 2015. Masters Thesis, Arizona State University. Accessed January 19, 2020. http://repository.asu.edu/items/29894.

MLA Handbook (7^{th} Edition):

Dutson, Karl J. “Target Tracking in Environments of Rapidly Changing Clutter.” 2015. Web. 19 Jan 2020.

Vancouver:

Dutson KJ. Target Tracking in Environments of Rapidly Changing Clutter. [Internet] [Masters thesis]. Arizona State University; 2015. [cited 2020 Jan 19]. Available from: http://repository.asu.edu/items/29894.

Council of Science Editors:

Dutson KJ. Target Tracking in Environments of Rapidly Changing Clutter. [Masters Thesis]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/29894

University of Southern California

12.
Rozgić, Viktor.
* Statistical* inference for dynamical, interacting
multi-object systems with emphasis on human small group
interactions.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653978/rec/6042

► In this dissertation we propose contributions that address the problems in behavioral *signal* *processing* for small-group interactions from three important perspectives. We propose algorithmic contributions…
(more)

Subjects/Keywords: statistical inference; multi-modal signal processing; behavioral signal processing

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APA (6^{th} Edition):

Rozgić, V. (2011). Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653978/rec/6042

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

Rozgić, Viktor. “Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions.” 2011. Doctoral Dissertation, University of Southern California. Accessed January 19, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653978/rec/6042.

MLA Handbook (7^{th} Edition):

Rozgić, Viktor. “Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions.” 2011. Web. 19 Jan 2020.

Vancouver:

Rozgić V. Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Jan 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653978/rec/6042.

Council of Science Editors:

Rozgić V. Statistical inference for dynamical, interacting multi-object systems with emphasis on human small group interactions. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/653978/rec/6042

Cornell University

13. Ozil, Ipek. System Identification Of Dynamical Models For Signals Related To The Human Use Of Ethanol .

Degree: 2014, Cornell University

URL: http://hdl.handle.net/1813/38828

► The influence of genetics on the risk for alcoholism is a major theme in alcoholism research. Genetic research depends on phenotyping. However, accurate phenotyping of…
(more)

Subjects/Keywords: Statistical signal processing; Expectation maximization; System identification

Record Details Similar Records

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

APA (6^{th} Edition):

Ozil, I. (2014). System Identification Of Dynamical Models For Signals Related To The Human Use Of Ethanol . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/38828

Not specified: Masters Thesis or Doctoral Dissertation

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

Ozil, Ipek. “System Identification Of Dynamical Models For Signals Related To The Human Use Of Ethanol .” 2014. Thesis, Cornell University. Accessed January 19, 2020. http://hdl.handle.net/1813/38828.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ozil, Ipek. “System Identification Of Dynamical Models For Signals Related To The Human Use Of Ethanol .” 2014. Web. 19 Jan 2020.

Vancouver:

Ozil I. System Identification Of Dynamical Models For Signals Related To The Human Use Of Ethanol . [Internet] [Thesis]. Cornell University; 2014. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1813/38828.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ozil I. System Identification Of Dynamical Models For Signals Related To The Human Use Of Ethanol . [Thesis]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/38828

Not specified: Masters Thesis or Doctoral Dissertation

University of New South Wales

14.
Cassidy, Benjamin.
*Statistical**signal* *processing* *methods* for imaging brain activity.

Degree: Electrical Engineering & Telecommunications, 2014, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/53487 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12182/SOURCE02?view=true

► Functional neuroimaging involves the study of cognitive scientific questions by measuring and modelling brain activity, using techniques such as Functional Magnetic Resonance Imaging (fMRI) and…
(more)

Subjects/Keywords: Magnetoencephalography; Statistical signal processing; Brain imaging; FMRI

Record Details Similar Records

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

APA (6^{th} Edition):

Cassidy, B. (2014). Statistical signal processing methods for imaging brain activity. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53487 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12182/SOURCE02?view=true

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

Cassidy, Benjamin. “Statistical signal processing methods for imaging brain activity.” 2014. Doctoral Dissertation, University of New South Wales. Accessed January 19, 2020. http://handle.unsw.edu.au/1959.4/53487 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12182/SOURCE02?view=true.

MLA Handbook (7^{th} Edition):

Cassidy, Benjamin. “Statistical signal processing methods for imaging brain activity.” 2014. Web. 19 Jan 2020.

Vancouver:

Cassidy B. Statistical signal processing methods for imaging brain activity. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2020 Jan 19]. Available from: http://handle.unsw.edu.au/1959.4/53487 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12182/SOURCE02?view=true.

Council of Science Editors:

Cassidy B. Statistical signal processing methods for imaging brain activity. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53487 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12182/SOURCE02?view=true

Ryerson University

15. Manafi, Shirin. A two-stage normalization method for robust differential expression analysis in microarray experiments.

Degree: 2014, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A3367

► In this research, we introduce an approach to improve the reliability of genetic data analysis. Consistency of the results obtained from microarray data analysis strongly…
(more)

Subjects/Keywords: DNA microarrays – Data processing.; Genomics – Statistical methods.

Record Details Similar Records

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

APA (6^{th} Edition):

Manafi, S. (2014). A two-stage normalization method for robust differential expression analysis in microarray experiments. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A3367

Not specified: Masters Thesis or Doctoral Dissertation

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

Manafi, Shirin. “A two-stage normalization method for robust differential expression analysis in microarray experiments.” 2014. Thesis, Ryerson University. Accessed January 19, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A3367.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Manafi, Shirin. “A two-stage normalization method for robust differential expression analysis in microarray experiments.” 2014. Web. 19 Jan 2020.

Vancouver:

Manafi S. A two-stage normalization method for robust differential expression analysis in microarray experiments. [Internet] [Thesis]. Ryerson University; 2014. [cited 2020 Jan 19]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3367.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Manafi S. A two-stage normalization method for robust differential expression analysis in microarray experiments. [Thesis]. Ryerson University; 2014. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3367

Not specified: Masters Thesis or Doctoral Dissertation

Columbia University

16. Wang, Wei. On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference.

Degree: 2016, Columbia University

URL: https://doi.org/10.7916/D8571C4Q

► This thesis includes three parts. The overarching theme is how to analyze multilevel structured datasets, particularly in the areas of survey and causal inference. The…
(more)

Subjects/Keywords: Social sciences – Statistical methods – Data processing; Statistics

Record Details Similar Records

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

APA (6^{th} Edition):

Wang, W. (2016). On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8571C4Q

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

Wang, Wei. “On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference.” 2016. Doctoral Dissertation, Columbia University. Accessed January 19, 2020. https://doi.org/10.7916/D8571C4Q.

MLA Handbook (7^{th} Edition):

Wang, Wei. “On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference.” 2016. Web. 19 Jan 2020.

Vancouver:

Wang W. On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2020 Jan 19]. Available from: https://doi.org/10.7916/D8571C4Q.

Council of Science Editors:

Wang W. On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D8571C4Q

Hong Kong University of Science and Technology

17.
Ding, Dong.
* Statistical* process control based on ordinal data.

Degree: 2015, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-86321 ; https://doi.org/10.14711/thesis-b1514504 ; http://repository.ust.hk/ir/bitstream/1783.1-86321/1/th_redirect.html

► Quality is a critical keyword in almost all industries. Quality improvement is always the pursuit of a successful business. To reduce variability is a basic…
(more)

Subjects/Keywords: Process control ; Data processing ; Statistical methods

Record Details Similar Records

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

APA (6^{th} Edition):

Ding, D. (2015). Statistical process control based on ordinal data. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-86321 ; https://doi.org/10.14711/thesis-b1514504 ; http://repository.ust.hk/ir/bitstream/1783.1-86321/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

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

Ding, Dong. “Statistical process control based on ordinal data.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed January 19, 2020. http://repository.ust.hk/ir/Record/1783.1-86321 ; https://doi.org/10.14711/thesis-b1514504 ; http://repository.ust.hk/ir/bitstream/1783.1-86321/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ding, Dong. “Statistical process control based on ordinal data.” 2015. Web. 19 Jan 2020.

Vancouver:

Ding D. Statistical process control based on ordinal data. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2020 Jan 19]. Available from: http://repository.ust.hk/ir/Record/1783.1-86321 ; https://doi.org/10.14711/thesis-b1514504 ; http://repository.ust.hk/ir/bitstream/1783.1-86321/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ding D. Statistical process control based on ordinal data. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: http://repository.ust.hk/ir/Record/1783.1-86321 ; https://doi.org/10.14711/thesis-b1514504 ; http://repository.ust.hk/ir/bitstream/1783.1-86321/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

University of Cambridge

18.
Peeling, Paul Halliday.
Bayesian *methods* in music modelling.

Degree: PhD, 2011, University of Cambridge

URL: https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860

► This thesis presents several hierarchical generative Bayesian models of musical signals designed to improve the accuracy of existing multiple pitch detection systems and other musical…
(more)

Subjects/Keywords: 780; Music modelling; Signal processing; Bayesian methods

Record Details Similar Records

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

APA (6^{th} Edition):

Peeling, P. H. (2011). Bayesian methods in music modelling. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860

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

Peeling, Paul Halliday. “Bayesian methods in music modelling.” 2011. Doctoral Dissertation, University of Cambridge. Accessed January 19, 2020. https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860.

MLA Handbook (7^{th} Edition):

Peeling, Paul Halliday. “Bayesian methods in music modelling.” 2011. Web. 19 Jan 2020.

Vancouver:

Peeling PH. Bayesian methods in music modelling. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2020 Jan 19]. Available from: https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860.

Council of Science Editors:

Peeling PH. Bayesian methods in music modelling. [Doctoral Dissertation]. University of Cambridge; 2011. Available from: https://www.repository.cam.ac.uk/handle/1810/237236 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541860

University of Cambridge

19.
Peeling, Paul.
Bayesian *methods* in music modelling.

Degree: PhD, 2011, University of Cambridge

URL: http://www.dspace.cam.ac.uk/handle/1810/237236https://www.repository.cam.ac.uk/bitstream/1810/237236/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/6/thesis.pdf.jpg

► This thesis presents several hierarchical generative Bayesian models of musical signals designed to improve the accuracy of existing multiple pitch detection systems and other musical…
(more)

Subjects/Keywords: Music modelling; Signal processing; Bayesian methods

Record Details Similar Records

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

APA (6^{th} Edition):

Peeling, P. (2011). Bayesian methods in music modelling. (Doctoral Dissertation). University of Cambridge. Retrieved from http://www.dspace.cam.ac.uk/handle/1810/237236https://www.repository.cam.ac.uk/bitstream/1810/237236/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/6/thesis.pdf.jpg

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

Peeling, Paul. “Bayesian methods in music modelling.” 2011. Doctoral Dissertation, University of Cambridge. Accessed January 19, 2020. http://www.dspace.cam.ac.uk/handle/1810/237236https://www.repository.cam.ac.uk/bitstream/1810/237236/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/6/thesis.pdf.jpg.

MLA Handbook (7^{th} Edition):

Peeling, Paul. “Bayesian methods in music modelling.” 2011. Web. 19 Jan 2020.

Vancouver:

Peeling P. Bayesian methods in music modelling. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2020 Jan 19]. Available from: http://www.dspace.cam.ac.uk/handle/1810/237236https://www.repository.cam.ac.uk/bitstream/1810/237236/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/6/thesis.pdf.jpg.

Council of Science Editors:

Peeling P. Bayesian methods in music modelling. [Doctoral Dissertation]. University of Cambridge; 2011. Available from: http://www.dspace.cam.ac.uk/handle/1810/237236https://www.repository.cam.ac.uk/bitstream/1810/237236/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/5/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/237236/6/thesis.pdf.jpg

20.
Pajovic, Milutin.
The development and application of random matrix theory in adaptive *signal* *processing* in the sample deficient regime.

Degree: 2014, MIT and Woods Hole Oceanographic Institution

URL: http://hdl.handle.net/1912/6918

► This thesis studies the problems associated with adaptive *signal* *processing* in the sample deficient regime using random matrix theory. The scenarios in which the sample…
(more)

Subjects/Keywords: Matrix analytic methods; Adaptive signal processing

Record Details Similar Records

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

APA (6^{th} Edition):

Pajovic, M. (2014). The development and application of random matrix theory in adaptive signal processing in the sample deficient regime. (Thesis). MIT and Woods Hole Oceanographic Institution. Retrieved from http://hdl.handle.net/1912/6918

Not specified: Masters Thesis or Doctoral Dissertation

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

Pajovic, Milutin. “The development and application of random matrix theory in adaptive signal processing in the sample deficient regime.” 2014. Thesis, MIT and Woods Hole Oceanographic Institution. Accessed January 19, 2020. http://hdl.handle.net/1912/6918.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Pajovic, Milutin. “The development and application of random matrix theory in adaptive signal processing in the sample deficient regime.” 2014. Web. 19 Jan 2020.

Vancouver:

Pajovic M. The development and application of random matrix theory in adaptive signal processing in the sample deficient regime. [Internet] [Thesis]. MIT and Woods Hole Oceanographic Institution; 2014. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1912/6918.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pajovic M. The development and application of random matrix theory in adaptive signal processing in the sample deficient regime. [Thesis]. MIT and Woods Hole Oceanographic Institution; 2014. Available from: http://hdl.handle.net/1912/6918

Not specified: Masters Thesis or Doctoral Dissertation

Rochester Institute of Technology

21. Kumar, Sriram. Learning Robust and Discriminative Manifold Representations for Pattern Recognition.

Degree: MS, Electrical Engineering, 2016, Rochester Institute of Technology

URL: https://scholarworks.rit.edu/theses/8983

► Face and object recognition find applications in domains such as biometrics, surveillance and human computer interaction. An important component in any recognition pipeline is…
(more)

Subjects/Keywords: Computer vision; Image processing; Machine learning; Pattern recognition; Statistical signal processing

Record Details Similar Records

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

APA (6^{th} Edition):

Kumar, S. (2016). Learning Robust and Discriminative Manifold Representations for Pattern Recognition. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/8983

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

Kumar, Sriram. “Learning Robust and Discriminative Manifold Representations for Pattern Recognition.” 2016. Masters Thesis, Rochester Institute of Technology. Accessed January 19, 2020. https://scholarworks.rit.edu/theses/8983.

MLA Handbook (7^{th} Edition):

Kumar, Sriram. “Learning Robust and Discriminative Manifold Representations for Pattern Recognition.” 2016. Web. 19 Jan 2020.

Vancouver:

Kumar S. Learning Robust and Discriminative Manifold Representations for Pattern Recognition. [Internet] [Masters thesis]. Rochester Institute of Technology; 2016. [cited 2020 Jan 19]. Available from: https://scholarworks.rit.edu/theses/8983.

Council of Science Editors:

Kumar S. Learning Robust and Discriminative Manifold Representations for Pattern Recognition. [Masters Thesis]. Rochester Institute of Technology; 2016. Available from: https://scholarworks.rit.edu/theses/8983

22. Sajadi, Nick. Time Reversal Compressive Sensing MIMO Radar Systems.

Degree: PhD, Computer Science, 2017, York University

URL: http://hdl.handle.net/10315/33518

► Active radar systems transmit a probing *signal* and use the return backscatters received from the channel to determine properties of the channel. After detecting the…
(more)

Subjects/Keywords: Computer engineering; Time Reversal Signal Processing; Compressive Sensing; MIMO Radar Systems; Statistical Signal Processing

Record Details Similar Records

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

APA (6^{th} Edition):

Sajadi, N. (2017). Time Reversal Compressive Sensing MIMO Radar Systems. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/33518

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

Sajadi, Nick. “Time Reversal Compressive Sensing MIMO Radar Systems.” 2017. Doctoral Dissertation, York University. Accessed January 19, 2020. http://hdl.handle.net/10315/33518.

MLA Handbook (7^{th} Edition):

Sajadi, Nick. “Time Reversal Compressive Sensing MIMO Radar Systems.” 2017. Web. 19 Jan 2020.

Vancouver:

Sajadi N. Time Reversal Compressive Sensing MIMO Radar Systems. [Internet] [Doctoral dissertation]. York University; 2017. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/10315/33518.

Council of Science Editors:

Sajadi N. Time Reversal Compressive Sensing MIMO Radar Systems. [Doctoral Dissertation]. York University; 2017. Available from: http://hdl.handle.net/10315/33518

University of Adelaide

23. Dhu, Trevor. The use of fractal dimension for texture-based enhancement of aeromagnetic data.

Degree: 2008, University of Adelaide

URL: http://hdl.handle.net/2440/49982

► This thesis investigates the potential of fractal dimension (FD) as a tool for enhancing airborne magnetic data. More specifically, this thesis investigates the potential of…
(more)

Subjects/Keywords: Fractal dimension; Aeromagnetic data image processing; Signal processing; Aeromagnetic prospecting.; Fractals – Data processing.; Geology – Statistical methods.; Geology – Statistical methods – Data processing.; Geophysics – Statistical methods.; Geophysics – Statistical method – Data processing.

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Dhu, T. (2008). The use of fractal dimension for texture-based enhancement of aeromagnetic data. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/49982

Not specified: Masters Thesis or Doctoral Dissertation

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

Dhu, Trevor. “The use of fractal dimension for texture-based enhancement of aeromagnetic data.” 2008. Thesis, University of Adelaide. Accessed January 19, 2020. http://hdl.handle.net/2440/49982.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dhu, Trevor. “The use of fractal dimension for texture-based enhancement of aeromagnetic data.” 2008. Web. 19 Jan 2020.

Vancouver:

Dhu T. The use of fractal dimension for texture-based enhancement of aeromagnetic data. [Internet] [Thesis]. University of Adelaide; 2008. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/2440/49982.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dhu T. The use of fractal dimension for texture-based enhancement of aeromagnetic data. [Thesis]. University of Adelaide; 2008. Available from: http://hdl.handle.net/2440/49982

Not specified: Masters Thesis or Doctoral Dissertation

Michigan State University

24.
Shan, Zeyong.
Multichannel *signal* decomposition and separation in the time-frequency domain.

Degree: PhD, Electrical Engineering, 2009, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:17039

Subjects/Keywords: Signal processing – Statistical methods; Time-series analysis; Blind source separation; Frequency spectra

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Shan, Z. (2009). Multichannel signal decomposition and separation in the time-frequency domain. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:17039

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

Shan, Zeyong. “Multichannel signal decomposition and separation in the time-frequency domain.” 2009. Doctoral Dissertation, Michigan State University. Accessed January 19, 2020. http://etd.lib.msu.edu/islandora/object/etd:17039.

MLA Handbook (7^{th} Edition):

Shan, Zeyong. “Multichannel signal decomposition and separation in the time-frequency domain.” 2009. Web. 19 Jan 2020.

Vancouver:

Shan Z. Multichannel signal decomposition and separation in the time-frequency domain. [Internet] [Doctoral dissertation]. Michigan State University; 2009. [cited 2020 Jan 19]. Available from: http://etd.lib.msu.edu/islandora/object/etd:17039.

Council of Science Editors:

Shan Z. Multichannel signal decomposition and separation in the time-frequency domain. [Doctoral Dissertation]. Michigan State University; 2009. Available from: http://etd.lib.msu.edu/islandora/object/etd:17039

Hong Kong University of Science and Technology

25.
Li, Jian.
* Statistical* process control for multivariate categorical processes.

Degree: 2012, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-7801 ; https://doi.org/10.14711/thesis-b1198695 ; http://repository.ust.hk/ir/bitstream/1783.1-7801/1/th_redirect.html

► Whatever is the business, either manufacturing or service, quality is the most critical aspect, which affects the level of success of the business. The importance…
(more)

Subjects/Keywords: Process control – Statistical methods ; Multivariate analysis – Data processing ; Quality control – Statistical methods

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Li, J. (2012). Statistical process control for multivariate categorical processes. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7801 ; https://doi.org/10.14711/thesis-b1198695 ; http://repository.ust.hk/ir/bitstream/1783.1-7801/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

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

Li, Jian. “Statistical process control for multivariate categorical processes.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed January 19, 2020. http://repository.ust.hk/ir/Record/1783.1-7801 ; https://doi.org/10.14711/thesis-b1198695 ; http://repository.ust.hk/ir/bitstream/1783.1-7801/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Li, Jian. “Statistical process control for multivariate categorical processes.” 2012. Web. 19 Jan 2020.

Vancouver:

Li J. Statistical process control for multivariate categorical processes. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2020 Jan 19]. Available from: http://repository.ust.hk/ir/Record/1783.1-7801 ; https://doi.org/10.14711/thesis-b1198695 ; http://repository.ust.hk/ir/bitstream/1783.1-7801/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li J. Statistical process control for multivariate categorical processes. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: http://repository.ust.hk/ir/Record/1783.1-7801 ; https://doi.org/10.14711/thesis-b1198695 ; http://repository.ust.hk/ir/bitstream/1783.1-7801/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

26. Roshen, Jacob; Dr.Unnikrishnan, A. Development of Time - Frequency Techniques for Sonar Applications.

Degree: 2010, Cochin University of Science and Technology

URL: http://dyuthi.cusat.ac.in/purl/2677

► Sonar *signal* *processing* comprises of a large number of *signal* *processing* algorithms for implementing functions such as Target Detection, Localisation, Classification, Tracking and Parameter estimation.…
(more)

Subjects/Keywords: Sonar Signal Processing; Digital Signal Processing; Time-Frequency Methods; Fractional Fourier Transform; Wigner Ville Distribution

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Roshen, Jacob; Dr.Unnikrishnan, A. (2010). Development of Time - Frequency Techniques for Sonar Applications. (Thesis). Cochin University of Science and Technology. Retrieved from http://dyuthi.cusat.ac.in/purl/2677

Not specified: Masters Thesis or Doctoral Dissertation

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

Roshen, Jacob; Dr.Unnikrishnan, A. “Development of Time - Frequency Techniques for Sonar Applications.” 2010. Thesis, Cochin University of Science and Technology. Accessed January 19, 2020. http://dyuthi.cusat.ac.in/purl/2677.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Roshen, Jacob; Dr.Unnikrishnan, A. “Development of Time - Frequency Techniques for Sonar Applications.” 2010. Web. 19 Jan 2020.

Vancouver:

Roshen, Jacob; Dr.Unnikrishnan A. Development of Time - Frequency Techniques for Sonar Applications. [Internet] [Thesis]. Cochin University of Science and Technology; 2010. [cited 2020 Jan 19]. Available from: http://dyuthi.cusat.ac.in/purl/2677.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Roshen, Jacob; Dr.Unnikrishnan A. Development of Time - Frequency Techniques for Sonar Applications. [Thesis]. Cochin University of Science and Technology; 2010. Available from: http://dyuthi.cusat.ac.in/purl/2677

Not specified: Masters Thesis or Doctoral Dissertation

UCLA

27.
Dragomiretskiy, Konstantin.
Variational *Methods* in *Signal* Decomposition and Image * Processing*.

Degree: Mathematics, 2015, UCLA

URL: http://www.escholarship.org/uc/item/4zx6s9zs

► The work presented in this dissertation is motivated by classical problems in *signal* and image *processing* from the perspective of variational and PDE-based *methods*. Analytically…
(more)

Subjects/Keywords: Applied mathematics; Image Processing; Image Segmentation; Mode Decomposition; Signal Decomposition; Signal Processing; Variational Methods

Record Details Similar Records

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

APA (6^{th} Edition):

Dragomiretskiy, K. (2015). Variational Methods in Signal Decomposition and Image Processing. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/4zx6s9zs

Not specified: Masters Thesis or Doctoral Dissertation

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

Dragomiretskiy, Konstantin. “Variational Methods in Signal Decomposition and Image Processing.” 2015. Thesis, UCLA. Accessed January 19, 2020. http://www.escholarship.org/uc/item/4zx6s9zs.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dragomiretskiy, Konstantin. “Variational Methods in Signal Decomposition and Image Processing.” 2015. Web. 19 Jan 2020.

Vancouver:

Dragomiretskiy K. Variational Methods in Signal Decomposition and Image Processing. [Internet] [Thesis]. UCLA; 2015. [cited 2020 Jan 19]. Available from: http://www.escholarship.org/uc/item/4zx6s9zs.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dragomiretskiy K. Variational Methods in Signal Decomposition and Image Processing. [Thesis]. UCLA; 2015. Available from: http://www.escholarship.org/uc/item/4zx6s9zs

Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

28. Audhkhasi, Kartik. A computational framework for diversity in ensembles of humans and machine systems.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/445107/rec/144

► My Ph.D. thesis presents a computational framework for diversity in ensembles or collections of humans and machine systems used for *signal* and information *processing*. Machine…
(more)

Subjects/Keywords: signal processing; information processing; machine learning; ensemble methods; diversity

Record Details Similar Records

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

APA (6^{th} Edition):

Audhkhasi, K. (2014). A computational framework for diversity in ensembles of humans and machine systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/445107/rec/144

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

Audhkhasi, Kartik. “A computational framework for diversity in ensembles of humans and machine systems.” 2014. Doctoral Dissertation, University of Southern California. Accessed January 19, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/445107/rec/144.

MLA Handbook (7^{th} Edition):

Audhkhasi, Kartik. “A computational framework for diversity in ensembles of humans and machine systems.” 2014. Web. 19 Jan 2020.

Vancouver:

Audhkhasi K. A computational framework for diversity in ensembles of humans and machine systems. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Jan 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/445107/rec/144.

Council of Science Editors:

Audhkhasi K. A computational framework for diversity in ensembles of humans and machine systems. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/445107/rec/144

Boston University

29. Aksoylar, Cem. Discovery of low-dimensional structure in high-dimensional inference problems.

Degree: PhD, Electrical & Computer Engineering, 2017, Boston University

URL: http://hdl.handle.net/2144/20836

► Many learning and inference problems involve high-dimensional data such as images, video or genomic data, which cannot be processed efficiently using conventional *methods* due to…
(more)

Subjects/Keywords: Electrical engineering; Convex optimization; Learning on networks; Sparse recovery; Statistical complexity; Statistical signal processing

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

APA (6^{th} Edition):

Aksoylar, C. (2017). Discovery of low-dimensional structure in high-dimensional inference problems. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/20836

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

Aksoylar, Cem. “Discovery of low-dimensional structure in high-dimensional inference problems.” 2017. Doctoral Dissertation, Boston University. Accessed January 19, 2020. http://hdl.handle.net/2144/20836.

MLA Handbook (7^{th} Edition):

Aksoylar, Cem. “Discovery of low-dimensional structure in high-dimensional inference problems.” 2017. Web. 19 Jan 2020.

Vancouver:

Aksoylar C. Discovery of low-dimensional structure in high-dimensional inference problems. [Internet] [Doctoral dissertation]. Boston University; 2017. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/2144/20836.

Council of Science Editors:

Aksoylar C. Discovery of low-dimensional structure in high-dimensional inference problems. [Doctoral Dissertation]. Boston University; 2017. Available from: http://hdl.handle.net/2144/20836

University of New Orleans

30.
Tsiappoutas, Kyriakos Michael.
* Statistical* Spectral Parameter Estimation of Acoustic Signals with Applications to Byzantine Music.

Degree: PhD, Physics, 2011, University of New Orleans

URL: https://scholarworks.uno.edu/td/1358

► Digitized acoustical signals of Byzantine music performed by Iakovos Nafpliotis are used to extract the fundamental frequency of each note of the diatonic scale.…
(more)

Subjects/Keywords: statistical spectral estimation, fundamental frequency estimation, statistical signal processing, Fourier transform, autocorrelation, autoregression; Engineering Physics

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

APA (6^{th} Edition):

Tsiappoutas, K. M. (2011). Statistical Spectral Parameter Estimation of Acoustic Signals with Applications to Byzantine Music. (Doctoral Dissertation). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/1358

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

Tsiappoutas, Kyriakos Michael. “Statistical Spectral Parameter Estimation of Acoustic Signals with Applications to Byzantine Music.” 2011. Doctoral Dissertation, University of New Orleans. Accessed January 19, 2020. https://scholarworks.uno.edu/td/1358.

MLA Handbook (7^{th} Edition):

Tsiappoutas, Kyriakos Michael. “Statistical Spectral Parameter Estimation of Acoustic Signals with Applications to Byzantine Music.” 2011. Web. 19 Jan 2020.

Vancouver:

Tsiappoutas KM. Statistical Spectral Parameter Estimation of Acoustic Signals with Applications to Byzantine Music. [Internet] [Doctoral dissertation]. University of New Orleans; 2011. [cited 2020 Jan 19]. Available from: https://scholarworks.uno.edu/td/1358.

Council of Science Editors:

Tsiappoutas KM. Statistical Spectral Parameter Estimation of Acoustic Signals with Applications to Byzantine Music. [Doctoral Dissertation]. University of New Orleans; 2011. Available from: https://scholarworks.uno.edu/td/1358