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You searched for subject:(spectral estimation). Showing records 1 – 30 of 124 total matches.

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1. Angelopoulos, Konstantinos. Προηγμένες μέθοδοι φασματικής εκτίμησης.

Degree: 2016, University of Peloponesse; Πανεπιστήμιο Πελοποννήσου

The field of research that deals with the Spectral Estimation problem is fundamental and plays a pivotal role within the wider scientific area of signal… (more)

Subjects/Keywords: Φασματική εκτίμηση; Spectral estimation

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

APA (6th Edition):

Angelopoulos, K. (2016). Προηγμένες μέθοδοι φασματικής εκτίμησης. (Thesis). University of Peloponesse; Πανεπιστήμιο Πελοποννήσου. Retrieved from http://hdl.handle.net/10442/hedi/40415

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):

Angelopoulos, Konstantinos. “Προηγμένες μέθοδοι φασματικής εκτίμησης.” 2016. Thesis, University of Peloponesse; Πανεπιστήμιο Πελοποννήσου. Accessed March 07, 2021. http://hdl.handle.net/10442/hedi/40415.

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

MLA Handbook (7th Edition):

Angelopoulos, Konstantinos. “Προηγμένες μέθοδοι φασματικής εκτίμησης.” 2016. Web. 07 Mar 2021.

Vancouver:

Angelopoulos K. Προηγμένες μέθοδοι φασματικής εκτίμησης. [Internet] [Thesis]. University of Peloponesse; Πανεπιστήμιο Πελοποννήσου; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10442/hedi/40415.

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

Council of Science Editors:

Angelopoulos K. Προηγμένες μέθοδοι φασματικής εκτίμησης. [Thesis]. University of Peloponesse; Πανεπιστήμιο Πελοποννήσου; 2016. Available from: http://hdl.handle.net/10442/hedi/40415

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


Cornell University

2. Zheng, Jingxian. Essays In Time Series Analysis In The Frequency Domain.

Degree: PhD, Economics, 2013, Cornell University

 In financial markets, economic relations can change abruptly as the result of rapid market reactions to exogenous shocks, or, alternatively, change gradually over a long… (more)

Subjects/Keywords: structural change; generalized spectral estimation; liquidity spillover

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APA (6th Edition):

Zheng, J. (2013). Essays In Time Series Analysis In The Frequency Domain. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/34031

Chicago Manual of Style (16th Edition):

Zheng, Jingxian. “Essays In Time Series Analysis In The Frequency Domain.” 2013. Doctoral Dissertation, Cornell University. Accessed March 07, 2021. http://hdl.handle.net/1813/34031.

MLA Handbook (7th Edition):

Zheng, Jingxian. “Essays In Time Series Analysis In The Frequency Domain.” 2013. Web. 07 Mar 2021.

Vancouver:

Zheng J. Essays In Time Series Analysis In The Frequency Domain. [Internet] [Doctoral dissertation]. Cornell University; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1813/34031.

Council of Science Editors:

Zheng J. Essays In Time Series Analysis In The Frequency Domain. [Doctoral Dissertation]. Cornell University; 2013. Available from: http://hdl.handle.net/1813/34031


Hong Kong University of Science and Technology

3. Liu, Xiaogang. Spectral characterization and spectral estimation of some graphs.

Degree: 2011, Hong Kong University of Science and Technology

 This thesis studies two subjects. One is the spectral characterization problem, the other is the spectral estimation probelm. For the former, we mainly investigate the… (more)

Subjects/Keywords: Graph theory ; Spectral theory (Mathematics) ; Estimation theory

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APA (6th Edition):

Liu, X. (2011). Spectral characterization and spectral estimation of some graphs. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7091 ; https://doi.org/10.14711/thesis-b1129753 ; http://repository.ust.hk/ir/bitstream/1783.1-7091/1/th_redirect.html

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):

Liu, Xiaogang. “Spectral characterization and spectral estimation of some graphs.” 2011. Thesis, Hong Kong University of Science and Technology. Accessed March 07, 2021. http://repository.ust.hk/ir/Record/1783.1-7091 ; https://doi.org/10.14711/thesis-b1129753 ; http://repository.ust.hk/ir/bitstream/1783.1-7091/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Liu, Xiaogang. “Spectral characterization and spectral estimation of some graphs.” 2011. Web. 07 Mar 2021.

Vancouver:

Liu X. Spectral characterization and spectral estimation of some graphs. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2011. [cited 2021 Mar 07]. Available from: http://repository.ust.hk/ir/Record/1783.1-7091 ; https://doi.org/10.14711/thesis-b1129753 ; http://repository.ust.hk/ir/bitstream/1783.1-7091/1/th_redirect.html.

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

Council of Science Editors:

Liu X. Spectral characterization and spectral estimation of some graphs. [Thesis]. Hong Kong University of Science and Technology; 2011. Available from: http://repository.ust.hk/ir/Record/1783.1-7091 ; https://doi.org/10.14711/thesis-b1129753 ; http://repository.ust.hk/ir/bitstream/1783.1-7091/1/th_redirect.html

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

4. Harouna Seybou, Aboubacar. Analyse d'images couleurs pour le contrôle qualité non destructif : Color images analysis for non-destructive quality control.

Degree: Docteur es, Traitemement du signal et des images, 2016, Poitiers

La couleur est un critère important dans de nombreux secteurs d'activité pour identifier, comparer ou encore contrôler la qualité de produits. Cette tâche est souvent… (more)

Subjects/Keywords: Reproduction d'image couleur; Modèle spectral d'imprimante; Caractérisation spectrale de caméra; Estimation de réflectance spectrale; Color image reproduction; Spectral printer model; Spectral camera characterization; Spectral reflectance estimation; 006.6

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APA (6th Edition):

Harouna Seybou, A. (2016). Analyse d'images couleurs pour le contrôle qualité non destructif : Color images analysis for non-destructive quality control. (Doctoral Dissertation). Poitiers. Retrieved from http://www.theses.fr/2016POIT2282

Chicago Manual of Style (16th Edition):

Harouna Seybou, Aboubacar. “Analyse d'images couleurs pour le contrôle qualité non destructif : Color images analysis for non-destructive quality control.” 2016. Doctoral Dissertation, Poitiers. Accessed March 07, 2021. http://www.theses.fr/2016POIT2282.

MLA Handbook (7th Edition):

Harouna Seybou, Aboubacar. “Analyse d'images couleurs pour le contrôle qualité non destructif : Color images analysis for non-destructive quality control.” 2016. Web. 07 Mar 2021.

Vancouver:

Harouna Seybou A. Analyse d'images couleurs pour le contrôle qualité non destructif : Color images analysis for non-destructive quality control. [Internet] [Doctoral dissertation]. Poitiers; 2016. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2016POIT2282.

Council of Science Editors:

Harouna Seybou A. Analyse d'images couleurs pour le contrôle qualité non destructif : Color images analysis for non-destructive quality control. [Doctoral Dissertation]. Poitiers; 2016. Available from: http://www.theses.fr/2016POIT2282


INP Toulouse

5. Altmann, Yoann. Nonlinear unmixing of Hyperspectral images : Démélange non-linéaire d'images hyperspectrales.

Degree: Docteur es, Image, Information, Hypermedia, 2013, INP Toulouse

 Le démélange spectral est un des sujets majeurs de l’analyse d’images hyperspectrales. Ce problème consiste à identifier les composants macroscopiques présents dans une image hyperspectrale… (more)

Subjects/Keywords: Imagerie hyperspectrale; Démélange spectral; Estimation bayésienne; Modèles non-linéaires; Hyperspectral imagery; Spectral unmixing; Bayesian estimation; Nonlinear models

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APA (6th Edition):

Altmann, Y. (2013). Nonlinear unmixing of Hyperspectral images : Démélange non-linéaire d'images hyperspectrales. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2013INPT0084

Chicago Manual of Style (16th Edition):

Altmann, Yoann. “Nonlinear unmixing of Hyperspectral images : Démélange non-linéaire d'images hyperspectrales.” 2013. Doctoral Dissertation, INP Toulouse. Accessed March 07, 2021. http://www.theses.fr/2013INPT0084.

MLA Handbook (7th Edition):

Altmann, Yoann. “Nonlinear unmixing of Hyperspectral images : Démélange non-linéaire d'images hyperspectrales.” 2013. Web. 07 Mar 2021.

Vancouver:

Altmann Y. Nonlinear unmixing of Hyperspectral images : Démélange non-linéaire d'images hyperspectrales. [Internet] [Doctoral dissertation]. INP Toulouse; 2013. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2013INPT0084.

Council of Science Editors:

Altmann Y. Nonlinear unmixing of Hyperspectral images : Démélange non-linéaire d'images hyperspectrales. [Doctoral Dissertation]. INP Toulouse; 2013. Available from: http://www.theses.fr/2013INPT0084

6. Khan, Haris Ahmad. Multispectral constancy for illuminant invariant representation of multispectral images : Constance multispectrale pour l'obtention de représentations d'images multispectrales invariantes en fonction de l'éclairage.

Degree: Docteur es, Instrumentation et informatique de l'image, 2018, Bourgogne Franche-Comté; Norwegian university of science and technology (Trondheim, Norvège)

 En imagerie couleur, un système d’acquisition capture une scène avec une haute résolution spatiale mais une résolution spectrale limitée. L’imagerie hyperspectrale permet d’acquérir la scène… (more)

Subjects/Keywords: Multispectrales; Estimation illuminant; Spectral; Constance multispectrale; Illuminant invariant; Multispectral; Illuminant estimation; Spectral; Multispectral constancy; Illuminant invariant; 006.6

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APA (6th Edition):

Khan, H. A. (2018). Multispectral constancy for illuminant invariant representation of multispectral images : Constance multispectrale pour l'obtention de représentations d'images multispectrales invariantes en fonction de l'éclairage. (Doctoral Dissertation). Bourgogne Franche-Comté; Norwegian university of science and technology (Trondheim, Norvège). Retrieved from http://www.theses.fr/2018UBFCK028

Chicago Manual of Style (16th Edition):

Khan, Haris Ahmad. “Multispectral constancy for illuminant invariant representation of multispectral images : Constance multispectrale pour l'obtention de représentations d'images multispectrales invariantes en fonction de l'éclairage.” 2018. Doctoral Dissertation, Bourgogne Franche-Comté; Norwegian university of science and technology (Trondheim, Norvège). Accessed March 07, 2021. http://www.theses.fr/2018UBFCK028.

MLA Handbook (7th Edition):

Khan, Haris Ahmad. “Multispectral constancy for illuminant invariant representation of multispectral images : Constance multispectrale pour l'obtention de représentations d'images multispectrales invariantes en fonction de l'éclairage.” 2018. Web. 07 Mar 2021.

Vancouver:

Khan HA. Multispectral constancy for illuminant invariant representation of multispectral images : Constance multispectrale pour l'obtention de représentations d'images multispectrales invariantes en fonction de l'éclairage. [Internet] [Doctoral dissertation]. Bourgogne Franche-Comté; Norwegian university of science and technology (Trondheim, Norvège); 2018. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2018UBFCK028.

Council of Science Editors:

Khan HA. Multispectral constancy for illuminant invariant representation of multispectral images : Constance multispectrale pour l'obtention de représentations d'images multispectrales invariantes en fonction de l'éclairage. [Doctoral Dissertation]. Bourgogne Franche-Comté; Norwegian university of science and technology (Trondheim, Norvège); 2018. Available from: http://www.theses.fr/2018UBFCK028


Duke University

7. Krishnamurthy, Kalyani. Spectral Image Processing Theory and Methods: Reconstruction, Target Detection, and Fundamental Performance Bounds .

Degree: 2011, Duke University

  This dissertation presents methods and associated performance bounds for spectral image processing tasks such as reconstruction and target detection, which are useful in a… (more)

Subjects/Keywords: Electrical Engineering; Compressed sesning; Level set estimation; Performance bounds; Poisson intensity estimation; Spectral imaging; Spectral target detection

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APA (6th Edition):

Krishnamurthy, K. (2011). Spectral Image Processing Theory and Methods: Reconstruction, Target Detection, and Fundamental Performance Bounds . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/3945

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):

Krishnamurthy, Kalyani. “Spectral Image Processing Theory and Methods: Reconstruction, Target Detection, and Fundamental Performance Bounds .” 2011. Thesis, Duke University. Accessed March 07, 2021. http://hdl.handle.net/10161/3945.

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

MLA Handbook (7th Edition):

Krishnamurthy, Kalyani. “Spectral Image Processing Theory and Methods: Reconstruction, Target Detection, and Fundamental Performance Bounds .” 2011. Web. 07 Mar 2021.

Vancouver:

Krishnamurthy K. Spectral Image Processing Theory and Methods: Reconstruction, Target Detection, and Fundamental Performance Bounds . [Internet] [Thesis]. Duke University; 2011. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10161/3945.

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

Council of Science Editors:

Krishnamurthy K. Spectral Image Processing Theory and Methods: Reconstruction, Target Detection, and Fundamental Performance Bounds . [Thesis]. Duke University; 2011. Available from: http://hdl.handle.net/10161/3945

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


Wright State University

8. Puladas, Charan. Accelerated Hyperspectral Unmixing with Endmember Variability via the Sum-Product Algorithm.

Degree: MSEE, Electrical Engineering, 2016, Wright State University

  The rich spectral information captured by hyperspectral sensors has given rise to a number of remote sensing applications, ranging from vegetative assessment and crop… (more)

Subjects/Keywords: Electrical Engineering; Remote Sensing; Computer Science; Hyperspectral Imaging; Spectral Unmixing; Spectral Estimation; Endmember Variablity; Spectral Correlation; Signal Processing; Machine Learning

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APA (6th Edition):

Puladas, C. (2016). Accelerated Hyperspectral Unmixing with Endmember Variability via the Sum-Product Algorithm. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1464214356

Chicago Manual of Style (16th Edition):

Puladas, Charan. “Accelerated Hyperspectral Unmixing with Endmember Variability via the Sum-Product Algorithm.” 2016. Masters Thesis, Wright State University. Accessed March 07, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464214356.

MLA Handbook (7th Edition):

Puladas, Charan. “Accelerated Hyperspectral Unmixing with Endmember Variability via the Sum-Product Algorithm.” 2016. Web. 07 Mar 2021.

Vancouver:

Puladas C. Accelerated Hyperspectral Unmixing with Endmember Variability via the Sum-Product Algorithm. [Internet] [Masters thesis]. Wright State University; 2016. [cited 2021 Mar 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1464214356.

Council of Science Editors:

Puladas C. Accelerated Hyperspectral Unmixing with Endmember Variability via the Sum-Product Algorithm. [Masters Thesis]. Wright State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1464214356


Cornell University

9. Ghods, Ramina. Nonlinear Estimation with Applications to Wireless Communications, Imaging, and Machine Learning.

Degree: PhD, Electrical and Computer Engineering, 2019, Cornell University

 Nonlinearities play a critical role in a large number of signal and information processing applications, including the areas of machine learning, imaging, signal processing, and… (more)

Subjects/Keywords: data detection; hyperparameter initialization; nonlinear estimation; nonparametric estimation; phase retrieval; spectral initialization

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APA (6th Edition):

Ghods, R. (2019). Nonlinear Estimation with Applications to Wireless Communications, Imaging, and Machine Learning. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/70015

Chicago Manual of Style (16th Edition):

Ghods, Ramina. “Nonlinear Estimation with Applications to Wireless Communications, Imaging, and Machine Learning.” 2019. Doctoral Dissertation, Cornell University. Accessed March 07, 2021. http://hdl.handle.net/1813/70015.

MLA Handbook (7th Edition):

Ghods, Ramina. “Nonlinear Estimation with Applications to Wireless Communications, Imaging, and Machine Learning.” 2019. Web. 07 Mar 2021.

Vancouver:

Ghods R. Nonlinear Estimation with Applications to Wireless Communications, Imaging, and Machine Learning. [Internet] [Doctoral dissertation]. Cornell University; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1813/70015.

Council of Science Editors:

Ghods R. Nonlinear Estimation with Applications to Wireless Communications, Imaging, and Machine Learning. [Doctoral Dissertation]. Cornell University; 2019. Available from: http://hdl.handle.net/1813/70015


University of New Orleans

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

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

  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 (6th 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 (16th Edition):

Tsiappoutas, Kyriakos Michael. “Statistical Spectral Parameter Estimation of Acoustic Signals with Applications to Byzantine Music.” 2011. Doctoral Dissertation, University of New Orleans. Accessed March 07, 2021. https://scholarworks.uno.edu/td/1358.

MLA Handbook (7th Edition):

Tsiappoutas, Kyriakos Michael. “Statistical Spectral Parameter Estimation of Acoustic Signals with Applications to Byzantine Music.” 2011. Web. 07 Mar 2021.

Vancouver:

Tsiappoutas KM. Statistical Spectral Parameter Estimation of Acoustic Signals with Applications to Byzantine Music. [Internet] [Doctoral dissertation]. University of New Orleans; 2011. [cited 2021 Mar 07]. 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

11. Tamburello, Philip Michael. Iterative Memoryless Non-linear Estimators of Correlation for Complex-Valued Gaussian Processes that Exhibit Robustness to Impulsive Noise.

Degree: PhD, Electrical Engineering, 2016, Virginia Tech

 The autocorrelation function is a commonly used tool in statistical time series analysis. Under the assumption of Gaussianity, the sample autocorrelation function is the standard… (more)

Subjects/Keywords: Robust Estimation; Spectral Estimation; Filtering

…115 6.3 Robust Spectral Estimation Using Multiple-Basis Signal Representation to Remove… …Burg method parameteric spectral estimation using purely Gaussian data… …5.4 Burg method spectral estimation results in the presence of outliers. . . . . . 106 5.5… …method spectral estimation example, with purely Gaussian data and no contamination… …114 6.2 Multi-taper method spectral estimation with contaminated data. . . . . . . . 116… 

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APA (6th Edition):

Tamburello, P. M. (2016). Iterative Memoryless Non-linear Estimators of Correlation for Complex-Valued Gaussian Processes that Exhibit Robustness to Impulsive Noise. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64785

Chicago Manual of Style (16th Edition):

Tamburello, Philip Michael. “Iterative Memoryless Non-linear Estimators of Correlation for Complex-Valued Gaussian Processes that Exhibit Robustness to Impulsive Noise.” 2016. Doctoral Dissertation, Virginia Tech. Accessed March 07, 2021. http://hdl.handle.net/10919/64785.

MLA Handbook (7th Edition):

Tamburello, Philip Michael. “Iterative Memoryless Non-linear Estimators of Correlation for Complex-Valued Gaussian Processes that Exhibit Robustness to Impulsive Noise.” 2016. Web. 07 Mar 2021.

Vancouver:

Tamburello PM. Iterative Memoryless Non-linear Estimators of Correlation for Complex-Valued Gaussian Processes that Exhibit Robustness to Impulsive Noise. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10919/64785.

Council of Science Editors:

Tamburello PM. Iterative Memoryless Non-linear Estimators of Correlation for Complex-Valued Gaussian Processes that Exhibit Robustness to Impulsive Noise. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/64785

12. Διαμαντής, Κωνσταντίνος. Super resolution techniques for the analysis of ultrasound signals.

Degree: 2011, University of Patras

In ultrasound contrast imaging, the discrimination between acoustic echoes from tissue and contrast microbubbles would have as a result the increase of the Contrast-to-Tissue-Ratio, improving… (more)

Subjects/Keywords: Spectral estimation; Microbubbles; Ultrasounds; 616.075 43; Συχνοτική ανάλυση; Μικροφυσαλίδες; Υπέρηχοι

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APA (6th Edition):

Διαμαντής, . (2011). Super resolution techniques for the analysis of ultrasound signals. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/4865

Chicago Manual of Style (16th Edition):

Διαμαντής, Κωνσταντίνος. “Super resolution techniques for the analysis of ultrasound signals.” 2011. Masters Thesis, University of Patras. Accessed March 07, 2021. http://hdl.handle.net/10889/4865.

MLA Handbook (7th Edition):

Διαμαντής, Κωνσταντίνος. “Super resolution techniques for the analysis of ultrasound signals.” 2011. Web. 07 Mar 2021.

Vancouver:

Διαμαντής . Super resolution techniques for the analysis of ultrasound signals. [Internet] [Masters thesis]. University of Patras; 2011. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10889/4865.

Council of Science Editors:

Διαμαντής . Super resolution techniques for the analysis of ultrasound signals. [Masters Thesis]. University of Patras; 2011. Available from: http://hdl.handle.net/10889/4865


George Mason University

13. Schwarzwalder, Joseph James. Structured Covariance Estimation From Spatial Spectra For Adaptive Beamforming .

Degree: 2011, George Mason University

 The covariance matrix for a sensor array observing a stationary space-time process is determined by the individual sensor element locations, the directional response and noise… (more)

Subjects/Keywords: Structured Covariance; Adaptive Beamforming; Array Processing; Multitaper Spectral Estimation

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APA (6th Edition):

Schwarzwalder, J. J. (2011). Structured Covariance Estimation From Spatial Spectra For Adaptive Beamforming . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/6345

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):

Schwarzwalder, Joseph James. “Structured Covariance Estimation From Spatial Spectra For Adaptive Beamforming .” 2011. Thesis, George Mason University. Accessed March 07, 2021. http://hdl.handle.net/1920/6345.

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

MLA Handbook (7th Edition):

Schwarzwalder, Joseph James. “Structured Covariance Estimation From Spatial Spectra For Adaptive Beamforming .” 2011. Web. 07 Mar 2021.

Vancouver:

Schwarzwalder JJ. Structured Covariance Estimation From Spatial Spectra For Adaptive Beamforming . [Internet] [Thesis]. George Mason University; 2011. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1920/6345.

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

Council of Science Editors:

Schwarzwalder JJ. Structured Covariance Estimation From Spatial Spectra For Adaptive Beamforming . [Thesis]. George Mason University; 2011. Available from: http://hdl.handle.net/1920/6345

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


University of North Carolina – Greensboro

14. Chen, Wei. Spectral estimation for random processes with stationary increments.

Degree: 2018, University of North Carolina – Greensboro

 In studying a stationary random process on ℝ, the covariance function is commonly used to characterize the second-order spatial dependency. Through the inversion of Fourier… (more)

Subjects/Keywords: Spectral theory (Mathematics); Estimation theory; Stochastic processes; Stationary processes

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

APA (6th Edition):

Chen, W. (2018). Spectral estimation for random processes with stationary increments. (Doctoral Dissertation). University of North Carolina – Greensboro. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=23130

Chicago Manual of Style (16th Edition):

Chen, Wei. “Spectral estimation for random processes with stationary increments.” 2018. Doctoral Dissertation, University of North Carolina – Greensboro. Accessed March 07, 2021. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=23130.

MLA Handbook (7th Edition):

Chen, Wei. “Spectral estimation for random processes with stationary increments.” 2018. Web. 07 Mar 2021.

Vancouver:

Chen W. Spectral estimation for random processes with stationary increments. [Internet] [Doctoral dissertation]. University of North Carolina – Greensboro; 2018. [cited 2021 Mar 07]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=23130.

Council of Science Editors:

Chen W. Spectral estimation for random processes with stationary increments. [Doctoral Dissertation]. University of North Carolina – Greensboro; 2018. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=23130


University of Illinois – Urbana-Champaign

15. Li, Yudu. A subspace approach to spectral quantification for MR spectroscopic imaging.

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

 The problem of spectral quantification for magnetic resonance spectroscopic imaging (MRSI) is addressed in this thesis. We present a novel approach to solving this problem,… (more)

Subjects/Keywords: Magnetic resonance spectroscopic imaging (MRSI); Spectral estimation; Subspace; Spatiospectral constraints

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

APA (6th Edition):

Li, Y. (2017). A subspace approach to spectral quantification for MR spectroscopic imaging. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99360

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

Chicago Manual of Style (16th Edition):

Li, Yudu. “A subspace approach to spectral quantification for MR spectroscopic imaging.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed March 07, 2021. http://hdl.handle.net/2142/99360.

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

MLA Handbook (7th Edition):

Li, Yudu. “A subspace approach to spectral quantification for MR spectroscopic imaging.” 2017. Web. 07 Mar 2021.

Vancouver:

Li Y. A subspace approach to spectral quantification for MR spectroscopic imaging. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2142/99360.

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

Council of Science Editors:

Li Y. A subspace approach to spectral quantification for MR spectroscopic imaging. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99360

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


Université de Sherbrooke

16. Bosco, Julien. Rehaussement de la parole combinant le domaine spectral et le domaine des modulations du spectre.

Degree: 2018, Université de Sherbrooke

 Ce projet de recherche propose une technique de rehaussement de la parole basée sur le domaine spectral et le domaine des modulations du spectre. Dans… (more)

Subjects/Keywords: Domaine spectral; Rehaussement de la parole; Estimation de bruit; Domaine modulatoire

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

APA (6th Edition):

Bosco, J. (2018). Rehaussement de la parole combinant le domaine spectral et le domaine des modulations du spectre. (Masters Thesis). Université de Sherbrooke. Retrieved from http://hdl.handle.net/11143/13571

Chicago Manual of Style (16th Edition):

Bosco, Julien. “Rehaussement de la parole combinant le domaine spectral et le domaine des modulations du spectre.” 2018. Masters Thesis, Université de Sherbrooke. Accessed March 07, 2021. http://hdl.handle.net/11143/13571.

MLA Handbook (7th Edition):

Bosco, Julien. “Rehaussement de la parole combinant le domaine spectral et le domaine des modulations du spectre.” 2018. Web. 07 Mar 2021.

Vancouver:

Bosco J. Rehaussement de la parole combinant le domaine spectral et le domaine des modulations du spectre. [Internet] [Masters thesis]. Université de Sherbrooke; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11143/13571.

Council of Science Editors:

Bosco J. Rehaussement de la parole combinant le domaine spectral et le domaine des modulations du spectre. [Masters Thesis]. Université de Sherbrooke; 2018. Available from: http://hdl.handle.net/11143/13571


University of Georgia

17. Praissman, Jeremy Lawrence. Finding structure in multivariate time series.

Degree: 2014, University of Georgia

 The scope of scientific data collection in modern projects such as the human genome project has made it effectively impossible for careful by-hand analyses of… (more)

Subjects/Keywords: Generalized Canonical Correlation Analysis; Multitaper Spectral Estimation; Singular Value Decomposition

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

APA (6th Edition):

Praissman, J. L. (2014). Finding structure in multivariate time series. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/24470

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):

Praissman, Jeremy Lawrence. “Finding structure in multivariate time series.” 2014. Thesis, University of Georgia. Accessed March 07, 2021. http://hdl.handle.net/10724/24470.

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

MLA Handbook (7th Edition):

Praissman, Jeremy Lawrence. “Finding structure in multivariate time series.” 2014. Web. 07 Mar 2021.

Vancouver:

Praissman JL. Finding structure in multivariate time series. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10724/24470.

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

Council of Science Editors:

Praissman JL. Finding structure in multivariate time series. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/24470

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

18. Chen, Wei. Spectral estimation for random processes with stationary increments.

Degree: 2018, NC Docks

 In studying a stationary random process on R, the covariance function is commonlyused to characterize the second-order spatial dependency. Through the inversionof Fourier transformation, its… (more)

Subjects/Keywords: Spectral theory (Mathematics); Estimation theory; Stochastic processes; Stationary processes

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

APA (6th Edition):

Chen, W. (2018). Spectral estimation for random processes with stationary increments. (Thesis). NC Docks. Retrieved from http://libres.uncg.edu/ir/uncg/f/Chen_uncg_0154D_12424.pdf

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):

Chen, Wei. “Spectral estimation for random processes with stationary increments.” 2018. Thesis, NC Docks. Accessed March 07, 2021. http://libres.uncg.edu/ir/uncg/f/Chen_uncg_0154D_12424.pdf.

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

MLA Handbook (7th Edition):

Chen, Wei. “Spectral estimation for random processes with stationary increments.” 2018. Web. 07 Mar 2021.

Vancouver:

Chen W. Spectral estimation for random processes with stationary increments. [Internet] [Thesis]. NC Docks; 2018. [cited 2021 Mar 07]. Available from: http://libres.uncg.edu/ir/uncg/f/Chen_uncg_0154D_12424.pdf.

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

Council of Science Editors:

Chen W. Spectral estimation for random processes with stationary increments. [Thesis]. NC Docks; 2018. Available from: http://libres.uncg.edu/ir/uncg/f/Chen_uncg_0154D_12424.pdf

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


University of Lund

19. Brynolfsson, Johan. Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis.

Degree: 2019, University of Lund

 This thesis deals with estimation and classification problems of non-stationary processes in a few special cases.In paper A and paper D we make strong assumptions… (more)

Subjects/Keywords: Signal Processing; Time-Frequency Estimation; Parameter Estimation; Reassignment method; Non-Stationary Processes; Smooth spectral estimation; Neural Networks

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

APA (6th Edition):

Brynolfsson, J. (2019). Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis. (Doctoral Dissertation). University of Lund. Retrieved from https://lup.lub.lu.se/record/b961aec1-d348-4a7a-84a4-83b4b15647da ; https://portal.research.lu.se/ws/files/64669735/kappa_brynolfsson.pdf

Chicago Manual of Style (16th Edition):

Brynolfsson, Johan. “Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis.” 2019. Doctoral Dissertation, University of Lund. Accessed March 07, 2021. https://lup.lub.lu.se/record/b961aec1-d348-4a7a-84a4-83b4b15647da ; https://portal.research.lu.se/ws/files/64669735/kappa_brynolfsson.pdf.

MLA Handbook (7th Edition):

Brynolfsson, Johan. “Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis.” 2019. Web. 07 Mar 2021.

Vancouver:

Brynolfsson J. Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis. [Internet] [Doctoral dissertation]. University of Lund; 2019. [cited 2021 Mar 07]. Available from: https://lup.lub.lu.se/record/b961aec1-d348-4a7a-84a4-83b4b15647da ; https://portal.research.lu.se/ws/files/64669735/kappa_brynolfsson.pdf.

Council of Science Editors:

Brynolfsson J. Estimation and Classification of Non-Stationary Processes : Applications in Time-Frequency Analysis. [Doctoral Dissertation]. University of Lund; 2019. Available from: https://lup.lub.lu.se/record/b961aec1-d348-4a7a-84a4-83b4b15647da ; https://portal.research.lu.se/ws/files/64669735/kappa_brynolfsson.pdf


University of Florida

20. Ojowu, Ode, Jr. Data-Adaptive Spectral Estimation Algorithms and Their Sensing Applications.

Degree: PhD, Electrical and Computer Engineering, 2013, University of Florida

Spectral analysis of signals, or the problem of spectral estimation revolves around estimating the distribution of power over frequency of a random signal. It has… (more)

Subjects/Keywords: Algorithms; Estimate reliability; Imaging; Photographs; Radar; Signal processing; Signals; Sine waves; Spectral resolution; Spices; estimation  – remote  – sensing  – spectral

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

APA (6th Edition):

Ojowu, Ode, J. (2013). Data-Adaptive Spectral Estimation Algorithms and Their Sensing Applications. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0046086

Chicago Manual of Style (16th Edition):

Ojowu, Ode, Jr. “Data-Adaptive Spectral Estimation Algorithms and Their Sensing Applications.” 2013. Doctoral Dissertation, University of Florida. Accessed March 07, 2021. https://ufdc.ufl.edu/UFE0046086.

MLA Handbook (7th Edition):

Ojowu, Ode, Jr. “Data-Adaptive Spectral Estimation Algorithms and Their Sensing Applications.” 2013. Web. 07 Mar 2021.

Vancouver:

Ojowu, Ode J. Data-Adaptive Spectral Estimation Algorithms and Their Sensing Applications. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2021 Mar 07]. Available from: https://ufdc.ufl.edu/UFE0046086.

Council of Science Editors:

Ojowu, Ode J. Data-Adaptive Spectral Estimation Algorithms and Their Sensing Applications. [Doctoral Dissertation]. University of Florida; 2013. Available from: https://ufdc.ufl.edu/UFE0046086


University of Tennessee – Knoxville

21. Bull, Nora Dianne. An Innovative Approach to Johnson Noise Thermometry by Means of Spectral Estimation.

Degree: 2016, University of Tennessee – Knoxville

 Instrumentation in a nuclear power plant is critical in monitoring the stability and safety levels of a reactor. Temperature is a key measurement performed on… (more)

Subjects/Keywords: spectral estimation; probability density function; power spectral density; electromagnetic interference; EMI removal; Johnson Noise thermometry; Signal Processing

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

APA (6th Edition):

Bull, N. D. (2016). An Innovative Approach to Johnson Noise Thermometry by Means of Spectral Estimation. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/3897

Chicago Manual of Style (16th Edition):

Bull, Nora Dianne. “An Innovative Approach to Johnson Noise Thermometry by Means of Spectral Estimation.” 2016. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed March 07, 2021. https://trace.tennessee.edu/utk_graddiss/3897.

MLA Handbook (7th Edition):

Bull, Nora Dianne. “An Innovative Approach to Johnson Noise Thermometry by Means of Spectral Estimation.” 2016. Web. 07 Mar 2021.

Vancouver:

Bull ND. An Innovative Approach to Johnson Noise Thermometry by Means of Spectral Estimation. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2016. [cited 2021 Mar 07]. Available from: https://trace.tennessee.edu/utk_graddiss/3897.

Council of Science Editors:

Bull ND. An Innovative Approach to Johnson Noise Thermometry by Means of Spectral Estimation. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2016. Available from: https://trace.tennessee.edu/utk_graddiss/3897


Macquarie University

22. Grant, Andrew. Parametric methods for time series discrimination.

Degree: 2018, Macquarie University

Empirical thesis.

Bibliography: pages 195-199.

1. Introduction  – 2. Background  – 3. Autoregressive spectral discrimination  – 4. ARMA spectral discrimination  – 5. Comparing multivariate time… (more)

Subjects/Keywords: Time-series analysis  – Mathematical models; autoregression; discriminant analysis; multivariant stationary process; spectral comparison; multichannel frequency estimation; spectral density

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APA (6th Edition):

Grant, A. (2018). Parametric methods for time series discrimination. (Doctoral Dissertation). Macquarie University. Retrieved from http://hdl.handle.net/1959.14/1272839

Chicago Manual of Style (16th Edition):

Grant, Andrew. “Parametric methods for time series discrimination.” 2018. Doctoral Dissertation, Macquarie University. Accessed March 07, 2021. http://hdl.handle.net/1959.14/1272839.

MLA Handbook (7th Edition):

Grant, Andrew. “Parametric methods for time series discrimination.” 2018. Web. 07 Mar 2021.

Vancouver:

Grant A. Parametric methods for time series discrimination. [Internet] [Doctoral dissertation]. Macquarie University; 2018. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1959.14/1272839.

Council of Science Editors:

Grant A. Parametric methods for time series discrimination. [Doctoral Dissertation]. Macquarie University; 2018. Available from: http://hdl.handle.net/1959.14/1272839

23. Kouakou, Kouadio Simplice. Echantillonnage aléatoire et estimation spectrale de processus et de champs stationnaires : Random sampling and spectral estimation of stationary processes and fields.

Degree: Docteur es, Mathématiques appliquées. Statistiques, 2012, Rennes 2; Université de Cocody (Abidjan, Côte d'Ivoire)

Dans ce travail nous nous intéressons à l'estimation de la densité spectrale par la méthode du noyau pour des processus à temps continu et des… (more)

Subjects/Keywords: Densité spectrale; Périodogramme; Estimation non-paramétrique; Échantillonage poissonien; Spectral density function; Periodogram; Nonparametric estimation; Poissonian sampling scheme; 519.5

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

APA (6th Edition):

Kouakou, K. S. (2012). Echantillonnage aléatoire et estimation spectrale de processus et de champs stationnaires : Random sampling and spectral estimation of stationary processes and fields. (Doctoral Dissertation). Rennes 2; Université de Cocody (Abidjan, Côte d'Ivoire). Retrieved from http://www.theses.fr/2012REN20019

Chicago Manual of Style (16th Edition):

Kouakou, Kouadio Simplice. “Echantillonnage aléatoire et estimation spectrale de processus et de champs stationnaires : Random sampling and spectral estimation of stationary processes and fields.” 2012. Doctoral Dissertation, Rennes 2; Université de Cocody (Abidjan, Côte d'Ivoire). Accessed March 07, 2021. http://www.theses.fr/2012REN20019.

MLA Handbook (7th Edition):

Kouakou, Kouadio Simplice. “Echantillonnage aléatoire et estimation spectrale de processus et de champs stationnaires : Random sampling and spectral estimation of stationary processes and fields.” 2012. Web. 07 Mar 2021.

Vancouver:

Kouakou KS. Echantillonnage aléatoire et estimation spectrale de processus et de champs stationnaires : Random sampling and spectral estimation of stationary processes and fields. [Internet] [Doctoral dissertation]. Rennes 2; Université de Cocody (Abidjan, Côte d'Ivoire); 2012. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2012REN20019.

Council of Science Editors:

Kouakou KS. Echantillonnage aléatoire et estimation spectrale de processus et de champs stationnaires : Random sampling and spectral estimation of stationary processes and fields. [Doctoral Dissertation]. Rennes 2; Université de Cocody (Abidjan, Côte d'Ivoire); 2012. Available from: http://www.theses.fr/2012REN20019

24. Bun, Joël. Application de la théorie des matrices aléatoires pour les statistiques en grande dimension : Application of Random Matrix Theory to High Dimensional Statistics.

Degree: Docteur es, Physique, 2016, Université Paris-Saclay (ComUE)

De nos jours, il est de plus en plus fréquent de travailler sur des bases de données de très grandes tailles dans plein de domaines… (more)

Subjects/Keywords: Matrices aléatoires; Statistiques en grande dimension; Estimation; Décomposition Spectrale; Random matrices; High dimensional statistics; Estimation; Spectral decomposition

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APA (6th Edition):

Bun, J. (2016). Application de la théorie des matrices aléatoires pour les statistiques en grande dimension : Application of Random Matrix Theory to High Dimensional Statistics. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2016SACLS245

Chicago Manual of Style (16th Edition):

Bun, Joël. “Application de la théorie des matrices aléatoires pour les statistiques en grande dimension : Application of Random Matrix Theory to High Dimensional Statistics.” 2016. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed March 07, 2021. http://www.theses.fr/2016SACLS245.

MLA Handbook (7th Edition):

Bun, Joël. “Application de la théorie des matrices aléatoires pour les statistiques en grande dimension : Application of Random Matrix Theory to High Dimensional Statistics.” 2016. Web. 07 Mar 2021.

Vancouver:

Bun J. Application de la théorie des matrices aléatoires pour les statistiques en grande dimension : Application of Random Matrix Theory to High Dimensional Statistics. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2016. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2016SACLS245.

Council of Science Editors:

Bun J. Application de la théorie des matrices aléatoires pour les statistiques en grande dimension : Application of Random Matrix Theory to High Dimensional Statistics. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2016. Available from: http://www.theses.fr/2016SACLS245


University of Lund

25. Elvander, Filip. Modeling and Sampling of Spectrally Structured Signals.

Degree: 2020, University of Lund

 This thesis consists of five papers concerned with the modeling of stochastic signals, as well as deterministic signals in stochastic noise, exhibiting different kinds of… (more)

Subjects/Keywords: Probability Theory and Statistics; Signal Processing; spectral estimation; parameter estimation; optimal mass transport; covariance interpolation; misspecified models; inharmonicity

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APA (6th Edition):

Elvander, F. (2020). Modeling and Sampling of Spectrally Structured Signals. (Doctoral Dissertation). University of Lund. Retrieved from https://lup.lub.lu.se/record/ca35ac5b-ad2e-4e44-b01f-9232dd74664f ; https://portal.research.lu.se/ws/files/81904925/FilipElvanderPhD_full.pdf

Chicago Manual of Style (16th Edition):

Elvander, Filip. “Modeling and Sampling of Spectrally Structured Signals.” 2020. Doctoral Dissertation, University of Lund. Accessed March 07, 2021. https://lup.lub.lu.se/record/ca35ac5b-ad2e-4e44-b01f-9232dd74664f ; https://portal.research.lu.se/ws/files/81904925/FilipElvanderPhD_full.pdf.

MLA Handbook (7th Edition):

Elvander, Filip. “Modeling and Sampling of Spectrally Structured Signals.” 2020. Web. 07 Mar 2021.

Vancouver:

Elvander F. Modeling and Sampling of Spectrally Structured Signals. [Internet] [Doctoral dissertation]. University of Lund; 2020. [cited 2021 Mar 07]. Available from: https://lup.lub.lu.se/record/ca35ac5b-ad2e-4e44-b01f-9232dd74664f ; https://portal.research.lu.se/ws/files/81904925/FilipElvanderPhD_full.pdf.

Council of Science Editors:

Elvander F. Modeling and Sampling of Spectrally Structured Signals. [Doctoral Dissertation]. University of Lund; 2020. Available from: https://lup.lub.lu.se/record/ca35ac5b-ad2e-4e44-b01f-9232dd74664f ; https://portal.research.lu.se/ws/files/81904925/FilipElvanderPhD_full.pdf

26. Zebadúa, Augusto. Traitement du signal dans le domaine compressé et quantification sur un bit : deux outils pour les contextes sous contraintes de communication : Compressed-domain signal processing and one-bit quantization : two tools for contexts undercommunication constraints.

Degree: Docteur es, Signal image parole telecoms, 2017, Université Grenoble Alpes (ComUE)

La surveillance de phénomènes physiques à l’aide d’un réseau de capteurs (autonomes mais communicants) est fortement contrainte en consommation énergétique, principalement pour la transmission de… (more)

Subjects/Keywords: Acquisition compresive; Projections Aléatoires; Quantification; Estimation; Correlation; Analyse Spectrale; Compressive sensing; Random Projections; One bit quantization; Estimation; Correlation; Spectral Analysis; 620

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APA (6th Edition):

Zebadúa, A. (2017). Traitement du signal dans le domaine compressé et quantification sur un bit : deux outils pour les contextes sous contraintes de communication : Compressed-domain signal processing and one-bit quantization : two tools for contexts undercommunication constraints. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2017GREAT085

Chicago Manual of Style (16th Edition):

Zebadúa, Augusto. “Traitement du signal dans le domaine compressé et quantification sur un bit : deux outils pour les contextes sous contraintes de communication : Compressed-domain signal processing and one-bit quantization : two tools for contexts undercommunication constraints.” 2017. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed March 07, 2021. http://www.theses.fr/2017GREAT085.

MLA Handbook (7th Edition):

Zebadúa, Augusto. “Traitement du signal dans le domaine compressé et quantification sur un bit : deux outils pour les contextes sous contraintes de communication : Compressed-domain signal processing and one-bit quantization : two tools for contexts undercommunication constraints.” 2017. Web. 07 Mar 2021.

Vancouver:

Zebadúa A. Traitement du signal dans le domaine compressé et quantification sur un bit : deux outils pour les contextes sous contraintes de communication : Compressed-domain signal processing and one-bit quantization : two tools for contexts undercommunication constraints. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2017. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2017GREAT085.

Council of Science Editors:

Zebadúa A. Traitement du signal dans le domaine compressé et quantification sur un bit : deux outils pour les contextes sous contraintes de communication : Compressed-domain signal processing and one-bit quantization : two tools for contexts undercommunication constraints. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2017. Available from: http://www.theses.fr/2017GREAT085

27. Smith-Boughner, Lindsay. Spectral Estimation Techniques for time series with Long Gaps: Applications to Paleomagnetism and Geomagnetic Depth Sounding.

Degree: Earth Sciences, 2016, University of California – San Diego

 Many Earth systems cannot be studied directly. One cannot measure the velocities of convecting fluid in the Earth’s core but can measure the magnetic field… (more)

Subjects/Keywords: Geophysics; Applied mathematics; geomagnetism; missing data; spectral estimation; time series; transfer function

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APA (6th Edition):

Smith-Boughner, L. (2016). Spectral Estimation Techniques for time series with Long Gaps: Applications to Paleomagnetism and Geomagnetic Depth Sounding. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/7hn0993t

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):

Smith-Boughner, Lindsay. “Spectral Estimation Techniques for time series with Long Gaps: Applications to Paleomagnetism and Geomagnetic Depth Sounding.” 2016. Thesis, University of California – San Diego. Accessed March 07, 2021. http://www.escholarship.org/uc/item/7hn0993t.

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

MLA Handbook (7th Edition):

Smith-Boughner, Lindsay. “Spectral Estimation Techniques for time series with Long Gaps: Applications to Paleomagnetism and Geomagnetic Depth Sounding.” 2016. Web. 07 Mar 2021.

Vancouver:

Smith-Boughner L. Spectral Estimation Techniques for time series with Long Gaps: Applications to Paleomagnetism and Geomagnetic Depth Sounding. [Internet] [Thesis]. University of California – San Diego; 2016. [cited 2021 Mar 07]. Available from: http://www.escholarship.org/uc/item/7hn0993t.

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

Council of Science Editors:

Smith-Boughner L. Spectral Estimation Techniques for time series with Long Gaps: Applications to Paleomagnetism and Geomagnetic Depth Sounding. [Thesis]. University of California – San Diego; 2016. Available from: http://www.escholarship.org/uc/item/7hn0993t

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


University of California – San Diego

28. Zhu, Tingyi. Kernel Methods in Nonparametric Functional Time Series.

Degree: Mathematics, 2017, University of California – San Diego

 Functional data objects are usually collected sequentially over time exhibiting forms of dependence. Such data structure is known as functional time series. While there is… (more)

Subjects/Keywords: Statistics; bootstrap; flat-top kernel; functional time series; kernel estimation; nonparametric autoregression; spectral analysis

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

APA (6th Edition):

Zhu, T. (2017). Kernel Methods in Nonparametric Functional Time Series. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/43w2x9qr

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):

Zhu, Tingyi. “Kernel Methods in Nonparametric Functional Time Series.” 2017. Thesis, University of California – San Diego. Accessed March 07, 2021. http://www.escholarship.org/uc/item/43w2x9qr.

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

MLA Handbook (7th Edition):

Zhu, Tingyi. “Kernel Methods in Nonparametric Functional Time Series.” 2017. Web. 07 Mar 2021.

Vancouver:

Zhu T. Kernel Methods in Nonparametric Functional Time Series. [Internet] [Thesis]. University of California – San Diego; 2017. [cited 2021 Mar 07]. Available from: http://www.escholarship.org/uc/item/43w2x9qr.

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

Council of Science Editors:

Zhu T. Kernel Methods in Nonparametric Functional Time Series. [Thesis]. University of California – San Diego; 2017. Available from: http://www.escholarship.org/uc/item/43w2x9qr

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


Rochester Institute of Technology

29. Gewali, Utsav B. Machine Learning for Robust Understanding of Scene Materials in Hyperspectral Images.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2019, Rochester Institute of Technology

  The major challenges in hyperspectral (HS) imaging and data analysis are expensive sensors, high dimensionality of the signal, limited ground truth, and spectral variability.… (more)

Subjects/Keywords: Deep learning; Gaussian processes; Hyperspectral imaging; Machine learning; Spectral super-resolution; Vegetation parameter estimation

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

APA (6th Edition):

Gewali, U. B. (2019). Machine Learning for Robust Understanding of Scene Materials in Hyperspectral Images. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10284

Chicago Manual of Style (16th Edition):

Gewali, Utsav B. “Machine Learning for Robust Understanding of Scene Materials in Hyperspectral Images.” 2019. Doctoral Dissertation, Rochester Institute of Technology. Accessed March 07, 2021. https://scholarworks.rit.edu/theses/10284.

MLA Handbook (7th Edition):

Gewali, Utsav B. “Machine Learning for Robust Understanding of Scene Materials in Hyperspectral Images.” 2019. Web. 07 Mar 2021.

Vancouver:

Gewali UB. Machine Learning for Robust Understanding of Scene Materials in Hyperspectral Images. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2019. [cited 2021 Mar 07]. Available from: https://scholarworks.rit.edu/theses/10284.

Council of Science Editors:

Gewali UB. Machine Learning for Robust Understanding of Scene Materials in Hyperspectral Images. [Doctoral Dissertation]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10284

30. Deb, Abhishek. Spectral Estimation for Graph Signals Using Reed-Solomon Decoding.

Degree: MS, Electrical Engineering, 2017, Texas A&M University

Spectral estimation, coding theory and compressed sensing are three important sub-fields of signal processing and information theory. Although these fields developed fairly independently, several important… (more)

Subjects/Keywords: Graph Signal Processing; Reed-Solomon decoding; Compressed Sensing; Spectral Estimation; Multiple Access Communication

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

APA (6th Edition):

Deb, A. (2017). Spectral Estimation for Graph Signals Using Reed-Solomon Decoding. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166067

Chicago Manual of Style (16th Edition):

Deb, Abhishek. “Spectral Estimation for Graph Signals Using Reed-Solomon Decoding.” 2017. Masters Thesis, Texas A&M University. Accessed March 07, 2021. http://hdl.handle.net/1969.1/166067.

MLA Handbook (7th Edition):

Deb, Abhishek. “Spectral Estimation for Graph Signals Using Reed-Solomon Decoding.” 2017. Web. 07 Mar 2021.

Vancouver:

Deb A. Spectral Estimation for Graph Signals Using Reed-Solomon Decoding. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1969.1/166067.

Council of Science Editors:

Deb A. Spectral Estimation for Graph Signals Using Reed-Solomon Decoding. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166067

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