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You searched for subject:(Compressive sampling). Showing records 1 – 30 of 53 total matches.

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Oregon State University

1. Zaid, Adem Mabruk. Leveraging Compressive Sampling and Machine Learning for Adaptive and Cooperative Wideband Spectrum Sensing.

Degree: MS, Computer Science, 2017, Oregon State University

 This thesis proposes a novel technique that exploits spectrum occupancy behaviors inherent to wideband spectrum access to enable efficient cooperative spectrum sensing. The proposed technique… (more)

Subjects/Keywords: Compressive Sampling; Broadband communication systems

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APA (6th Edition):

Zaid, A. M. (2017). Leveraging Compressive Sampling and Machine Learning for Adaptive and Cooperative Wideband Spectrum Sensing. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/60587

Chicago Manual of Style (16th Edition):

Zaid, Adem Mabruk. “Leveraging Compressive Sampling and Machine Learning for Adaptive and Cooperative Wideband Spectrum Sensing.” 2017. Masters Thesis, Oregon State University. Accessed March 01, 2021. http://hdl.handle.net/1957/60587.

MLA Handbook (7th Edition):

Zaid, Adem Mabruk. “Leveraging Compressive Sampling and Machine Learning for Adaptive and Cooperative Wideband Spectrum Sensing.” 2017. Web. 01 Mar 2021.

Vancouver:

Zaid AM. Leveraging Compressive Sampling and Machine Learning for Adaptive and Cooperative Wideband Spectrum Sensing. [Internet] [Masters thesis]. Oregon State University; 2017. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1957/60587.

Council of Science Editors:

Zaid AM. Leveraging Compressive Sampling and Machine Learning for Adaptive and Cooperative Wideband Spectrum Sensing. [Masters Thesis]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/60587


Delft University of Technology

2. Li, Xuyang (author). Semi-Controllable Compression Schemes for Ultrasound Imaging.

Degree: 2017, Delft University of Technology

 The application of Compressive Sampling (CS) in the medical ultrasound has been widely studied in recent years with the growing requirement of reconstructing high-quality images… (more)

Subjects/Keywords: compressive sampling; ultrasound imaging; semi-controllable

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APA (6th Edition):

Li, X. (. (2017). Semi-Controllable Compression Schemes for Ultrasound Imaging. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5c60b296-5a0c-4d7a-b3fe-8cd3aca0b7ef

Chicago Manual of Style (16th Edition):

Li, Xuyang (author). “Semi-Controllable Compression Schemes for Ultrasound Imaging.” 2017. Masters Thesis, Delft University of Technology. Accessed March 01, 2021. http://resolver.tudelft.nl/uuid:5c60b296-5a0c-4d7a-b3fe-8cd3aca0b7ef.

MLA Handbook (7th Edition):

Li, Xuyang (author). “Semi-Controllable Compression Schemes for Ultrasound Imaging.” 2017. Web. 01 Mar 2021.

Vancouver:

Li X(. Semi-Controllable Compression Schemes for Ultrasound Imaging. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 01]. Available from: http://resolver.tudelft.nl/uuid:5c60b296-5a0c-4d7a-b3fe-8cd3aca0b7ef.

Council of Science Editors:

Li X(. Semi-Controllable Compression Schemes for Ultrasound Imaging. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:5c60b296-5a0c-4d7a-b3fe-8cd3aca0b7ef


University of Alberta

3. Parenteau, Michelle L. Compressive Video Acquisition with Multiple Sensors and No Reference Frames.

Degree: MS, Department of Electrical and Computer Engineering, 2015, University of Alberta

 Standard large-sensor-array-based camera designs are uneconomical when imaging with exotic wavelengths that require expensive photodetectors. The single-pixel camera allows image acquisition with only one sensor;… (more)

Subjects/Keywords: distributed compressive sampling; video acquisition; joint sparsity; compressive sampling; digital signal processing; single-pixel camera

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APA (6th Edition):

Parenteau, M. L. (2015). Compressive Video Acquisition with Multiple Sensors and No Reference Frames. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/1v53k071k

Chicago Manual of Style (16th Edition):

Parenteau, Michelle L. “Compressive Video Acquisition with Multiple Sensors and No Reference Frames.” 2015. Masters Thesis, University of Alberta. Accessed March 01, 2021. https://era.library.ualberta.ca/files/1v53k071k.

MLA Handbook (7th Edition):

Parenteau, Michelle L. “Compressive Video Acquisition with Multiple Sensors and No Reference Frames.” 2015. Web. 01 Mar 2021.

Vancouver:

Parenteau ML. Compressive Video Acquisition with Multiple Sensors and No Reference Frames. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2021 Mar 01]. Available from: https://era.library.ualberta.ca/files/1v53k071k.

Council of Science Editors:

Parenteau ML. Compressive Video Acquisition with Multiple Sensors and No Reference Frames. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/1v53k071k


Utah State University

4. Smith, Cody S. Compressive Point Cloud Super Resolution.

Degree: MS, Electrical and Computer Engineering, 2012, Utah State University

  Automatic target recognition (ATR) is the ability for a computer to discriminate between different objects in a scene. ATR is often performed on point… (more)

Subjects/Keywords: Compressive Imaging; Compressive Sampling; Ladar; Super Resolution; Electrical and Computer Engineering

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APA (6th Edition):

Smith, C. S. (2012). Compressive Point Cloud Super Resolution. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/1392

Chicago Manual of Style (16th Edition):

Smith, Cody S. “Compressive Point Cloud Super Resolution.” 2012. Masters Thesis, Utah State University. Accessed March 01, 2021. https://digitalcommons.usu.edu/etd/1392.

MLA Handbook (7th Edition):

Smith, Cody S. “Compressive Point Cloud Super Resolution.” 2012. Web. 01 Mar 2021.

Vancouver:

Smith CS. Compressive Point Cloud Super Resolution. [Internet] [Masters thesis]. Utah State University; 2012. [cited 2021 Mar 01]. Available from: https://digitalcommons.usu.edu/etd/1392.

Council of Science Editors:

Smith CS. Compressive Point Cloud Super Resolution. [Masters Thesis]. Utah State University; 2012. Available from: https://digitalcommons.usu.edu/etd/1392


Oklahoma State University

5. Mekisso, Betelhem Mateos. Unequal Compressive Imaging.

Degree: School of Electrical & Computer Engineering, 2011, Oklahoma State University

 Recently, novel compressive sensing (CS) techniques have been employed to concurrently perform compression and image sampling. Since an image has sparse representation in some proper… (more)

Subjects/Keywords: compressive sensing; image processing; region of interest; unequal compressive sampling

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APA (6th Edition):

Mekisso, B. M. (2011). Unequal Compressive Imaging. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/10243

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):

Mekisso, Betelhem Mateos. “Unequal Compressive Imaging.” 2011. Thesis, Oklahoma State University. Accessed March 01, 2021. http://hdl.handle.net/11244/10243.

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

MLA Handbook (7th Edition):

Mekisso, Betelhem Mateos. “Unequal Compressive Imaging.” 2011. Web. 01 Mar 2021.

Vancouver:

Mekisso BM. Unequal Compressive Imaging. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11244/10243.

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

Council of Science Editors:

Mekisso BM. Unequal Compressive Imaging. [Thesis]. Oklahoma State University; 2011. Available from: http://hdl.handle.net/11244/10243

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


Colorado School of Mines

6. Lim, Chia Wei. Compressive sampling of communication signals.

Degree: PhD, Electrical Engineering and Computer Science, 2015, Colorado School of Mines

 The theory of Compressive Sensing (CS) has recently enabled the efficient acquisition of signals which are sparse or compressible in some appropriate domain. The central… (more)

Subjects/Keywords: compressive sensing; modulation recognition; frequency hopping; compressive sampling

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APA (6th Edition):

Lim, C. W. (2015). Compressive sampling of communication signals. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/20182

Chicago Manual of Style (16th Edition):

Lim, Chia Wei. “Compressive sampling of communication signals.” 2015. Doctoral Dissertation, Colorado School of Mines. Accessed March 01, 2021. http://hdl.handle.net/11124/20182.

MLA Handbook (7th Edition):

Lim, Chia Wei. “Compressive sampling of communication signals.” 2015. Web. 01 Mar 2021.

Vancouver:

Lim CW. Compressive sampling of communication signals. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11124/20182.

Council of Science Editors:

Lim CW. Compressive sampling of communication signals. [Doctoral Dissertation]. Colorado School of Mines; 2015. Available from: http://hdl.handle.net/11124/20182


University of Cincinnati

7. Viswa, Chaithanya. Accurate code phase estimation of LOS GPS signal using Compressive Sensing and multipath mitigation using interpolation/MEDLL.

Degree: MS, Engineering and Applied Science: Electrical Engineering, 2015, University of Cincinnati

 A wide variety of error sources affect accuracy of the basic GPS measurements of pseudorange (also known as code-phase) and integrated Doppler (also known as… (more)

Subjects/Keywords: Electrical Engineering; GPS codephase; Multipath Mitigation; Sub-Nyquist Sampling; Compressive Sensing; Compressive Sampling; Global Positioning System

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APA (6th Edition):

Viswa, C. (2015). Accurate code phase estimation of LOS GPS signal using Compressive Sensing and multipath mitigation using interpolation/MEDLL. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439282162

Chicago Manual of Style (16th Edition):

Viswa, Chaithanya. “Accurate code phase estimation of LOS GPS signal using Compressive Sensing and multipath mitigation using interpolation/MEDLL.” 2015. Masters Thesis, University of Cincinnati. Accessed March 01, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439282162.

MLA Handbook (7th Edition):

Viswa, Chaithanya. “Accurate code phase estimation of LOS GPS signal using Compressive Sensing and multipath mitigation using interpolation/MEDLL.” 2015. Web. 01 Mar 2021.

Vancouver:

Viswa C. Accurate code phase estimation of LOS GPS signal using Compressive Sensing and multipath mitigation using interpolation/MEDLL. [Internet] [Masters thesis]. University of Cincinnati; 2015. [cited 2021 Mar 01]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439282162.

Council of Science Editors:

Viswa C. Accurate code phase estimation of LOS GPS signal using Compressive Sensing and multipath mitigation using interpolation/MEDLL. [Masters Thesis]. University of Cincinnati; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439282162


McMaster University

8. Adalsteinsson, Gudmundur F. Multilevel Method for Turbulence Energy Spectrum Estimation by Compressive Sampling.

Degree: MSc, 2014, McMaster University

Recent developments in signal processing called Compressive Sampling (CS) show that the measurement and reconstruction of sparse signals often requires fewer samples than is… (more)

Subjects/Keywords: compressive sampling; turbulence; energy spectrum; wavelets; optimization; Computational Engineering; Computational Engineering

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APA (6th Edition):

Adalsteinsson, G. F. (2014). Multilevel Method for Turbulence Energy Spectrum Estimation by Compressive Sampling. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/14089

Chicago Manual of Style (16th Edition):

Adalsteinsson, Gudmundur F. “Multilevel Method for Turbulence Energy Spectrum Estimation by Compressive Sampling.” 2014. Masters Thesis, McMaster University. Accessed March 01, 2021. http://hdl.handle.net/11375/14089.

MLA Handbook (7th Edition):

Adalsteinsson, Gudmundur F. “Multilevel Method for Turbulence Energy Spectrum Estimation by Compressive Sampling.” 2014. Web. 01 Mar 2021.

Vancouver:

Adalsteinsson GF. Multilevel Method for Turbulence Energy Spectrum Estimation by Compressive Sampling. [Internet] [Masters thesis]. McMaster University; 2014. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11375/14089.

Council of Science Editors:

Adalsteinsson GF. Multilevel Method for Turbulence Energy Spectrum Estimation by Compressive Sampling. [Masters Thesis]. McMaster University; 2014. Available from: http://hdl.handle.net/11375/14089


Penn State University

9. Wilson, Scott Alden. Compressive Microwave Radar Holography.

Degree: 2014, Penn State University

 Radar holography has been established as an effective image reconstruction process by which the measured diffraction pattern across an aperture provides information of a three-dimensional… (more)

Subjects/Keywords: Compressive sensing; sparse sampling; near-field imaging; radar imaging; microwave holography

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APA (6th Edition):

Wilson, S. A. (2014). Compressive Microwave Radar Holography. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/23274

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):

Wilson, Scott Alden. “Compressive Microwave Radar Holography.” 2014. Thesis, Penn State University. Accessed March 01, 2021. https://submit-etda.libraries.psu.edu/catalog/23274.

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

MLA Handbook (7th Edition):

Wilson, Scott Alden. “Compressive Microwave Radar Holography.” 2014. Web. 01 Mar 2021.

Vancouver:

Wilson SA. Compressive Microwave Radar Holography. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 Mar 01]. Available from: https://submit-etda.libraries.psu.edu/catalog/23274.

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

Council of Science Editors:

Wilson SA. Compressive Microwave Radar Holography. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/23274

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


Brunel University

10. Ahmed, Hosameldin. Intelligent methods for condition monitoring of rolling bearings using vibration data.

Degree: PhD, 2019, Brunel University

 Owing to the importance of rolling bearings in rotating machines, there has been great interest in the development of computational methods for rolling bearings condition… (more)

Subjects/Keywords: Rotating machine; Compressive sampling; Dimensionality reduction; Vibration analysis

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APA (6th Edition):

Ahmed, H. (2019). Intelligent methods for condition monitoring of rolling bearings using vibration data. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/18378 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782732

Chicago Manual of Style (16th Edition):

Ahmed, Hosameldin. “Intelligent methods for condition monitoring of rolling bearings using vibration data.” 2019. Doctoral Dissertation, Brunel University. Accessed March 01, 2021. http://bura.brunel.ac.uk/handle/2438/18378 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782732.

MLA Handbook (7th Edition):

Ahmed, Hosameldin. “Intelligent methods for condition monitoring of rolling bearings using vibration data.” 2019. Web. 01 Mar 2021.

Vancouver:

Ahmed H. Intelligent methods for condition monitoring of rolling bearings using vibration data. [Internet] [Doctoral dissertation]. Brunel University; 2019. [cited 2021 Mar 01]. Available from: http://bura.brunel.ac.uk/handle/2438/18378 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782732.

Council of Science Editors:

Ahmed H. Intelligent methods for condition monitoring of rolling bearings using vibration data. [Doctoral Dissertation]. Brunel University; 2019. Available from: http://bura.brunel.ac.uk/handle/2438/18378 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782732

11. bi, xiaofei. Compressed Sampling for High Frequency Receivers Applications.

Degree: Mathematics and Natural Sciences, 2011, University of Gävle

  In digital signal processing field, for recovering the signal without distortion, Shannon sampling theory must be fulfilled in the traditional signal sampling. However, in… (more)

Subjects/Keywords: Compressive Sampling (CS); sparse representation; measurement matrix; signal reconstruction.

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APA (6th Edition):

bi, x. (2011). Compressed Sampling for High Frequency Receivers Applications. (Thesis). University of Gävle. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10877

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):

bi, xiaofei. “Compressed Sampling for High Frequency Receivers Applications.” 2011. Thesis, University of Gävle. Accessed March 01, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10877.

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

MLA Handbook (7th Edition):

bi, xiaofei. “Compressed Sampling for High Frequency Receivers Applications.” 2011. Web. 01 Mar 2021.

Vancouver:

bi x. Compressed Sampling for High Frequency Receivers Applications. [Internet] [Thesis]. University of Gävle; 2011. [cited 2021 Mar 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10877.

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

Council of Science Editors:

bi x. Compressed Sampling for High Frequency Receivers Applications. [Thesis]. University of Gävle; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10877

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

12. Le Montagner, Yoann. Solutions algorithmiques pour des applications d'acquisition parcimonieuse en bio-imagerie optique : Algorithmic solutions toward applications of compressed sensing for optical imaging.

Degree: Docteur es, Signal et images, 2013, Paris, ENST

Ces dernières années, la théorie mathématique de l'échantillonnage compressé (CS) a émergé en tant que nouvel outil en traitement d'images, permettant notamment de dépasser certaines… (more)

Subjects/Keywords: Bio-imagerie; Acquisition comprimée; Echantillonnage compressé; Bioimaging; Compressive sensing; Compressed sampling

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APA (6th Edition):

Le Montagner, Y. (2013). Solutions algorithmiques pour des applications d'acquisition parcimonieuse en bio-imagerie optique : Algorithmic solutions toward applications of compressed sensing for optical imaging. (Doctoral Dissertation). Paris, ENST. Retrieved from http://www.theses.fr/2013ENST0065

Chicago Manual of Style (16th Edition):

Le Montagner, Yoann. “Solutions algorithmiques pour des applications d'acquisition parcimonieuse en bio-imagerie optique : Algorithmic solutions toward applications of compressed sensing for optical imaging.” 2013. Doctoral Dissertation, Paris, ENST. Accessed March 01, 2021. http://www.theses.fr/2013ENST0065.

MLA Handbook (7th Edition):

Le Montagner, Yoann. “Solutions algorithmiques pour des applications d'acquisition parcimonieuse en bio-imagerie optique : Algorithmic solutions toward applications of compressed sensing for optical imaging.” 2013. Web. 01 Mar 2021.

Vancouver:

Le Montagner Y. Solutions algorithmiques pour des applications d'acquisition parcimonieuse en bio-imagerie optique : Algorithmic solutions toward applications of compressed sensing for optical imaging. [Internet] [Doctoral dissertation]. Paris, ENST; 2013. [cited 2021 Mar 01]. Available from: http://www.theses.fr/2013ENST0065.

Council of Science Editors:

Le Montagner Y. Solutions algorithmiques pour des applications d'acquisition parcimonieuse en bio-imagerie optique : Algorithmic solutions toward applications of compressed sensing for optical imaging. [Doctoral Dissertation]. Paris, ENST; 2013. Available from: http://www.theses.fr/2013ENST0065


Michigan Technological University

13. Huang, Shuo. Adaptive Sampling with Mobile Sensor Networks.

Degree: PhD, Department of Electrical and Computer Engineering, 2012, Michigan Technological University

  Mobile sensor networks have unique advantages compared with wireless sensor networks. The mobility enables mobile sensors to flexibly reconfigure themselves to meet sensing requirements.… (more)

Subjects/Keywords: adaptive sampling; compressive sensing; mobile sensor networks; Computer Engineering

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APA (6th Edition):

Huang, S. (2012). Adaptive Sampling with Mobile Sensor Networks. (Doctoral Dissertation). Michigan Technological University. Retrieved from https://digitalcommons.mtu.edu/etds/477

Chicago Manual of Style (16th Edition):

Huang, Shuo. “Adaptive Sampling with Mobile Sensor Networks.” 2012. Doctoral Dissertation, Michigan Technological University. Accessed March 01, 2021. https://digitalcommons.mtu.edu/etds/477.

MLA Handbook (7th Edition):

Huang, Shuo. “Adaptive Sampling with Mobile Sensor Networks.” 2012. Web. 01 Mar 2021.

Vancouver:

Huang S. Adaptive Sampling with Mobile Sensor Networks. [Internet] [Doctoral dissertation]. Michigan Technological University; 2012. [cited 2021 Mar 01]. Available from: https://digitalcommons.mtu.edu/etds/477.

Council of Science Editors:

Huang S. Adaptive Sampling with Mobile Sensor Networks. [Doctoral Dissertation]. Michigan Technological University; 2012. Available from: https://digitalcommons.mtu.edu/etds/477


University of New Mexico

14. Mehraban, Sara. Some Notes on Compressive Sensing.

Degree: Mathematics & Statistics, 2016, University of New Mexico

 We are living in a world in which the growth rate of the data generated every year is almost exponential. A significant problem is how… (more)

Subjects/Keywords: compressive sensing; image processing; transform coding; sampling theorem

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APA (6th Edition):

Mehraban, S. (2016). Some Notes on Compressive Sensing. (Masters Thesis). University of New Mexico. Retrieved from http://hdl.handle.net/1928/32966

Chicago Manual of Style (16th Edition):

Mehraban, Sara. “Some Notes on Compressive Sensing.” 2016. Masters Thesis, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/32966.

MLA Handbook (7th Edition):

Mehraban, Sara. “Some Notes on Compressive Sensing.” 2016. Web. 01 Mar 2021.

Vancouver:

Mehraban S. Some Notes on Compressive Sensing. [Internet] [Masters thesis]. University of New Mexico; 2016. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/32966.

Council of Science Editors:

Mehraban S. Some Notes on Compressive Sensing. [Masters Thesis]. University of New Mexico; 2016. Available from: http://hdl.handle.net/1928/32966


University of Southern California

15. Lee, Sungwon. Application-driven compressed sensing.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 Traditional compressed sensing (CS) approaches have been focused on the goal of reducing the number of measurements while achieving satisfactory reconstruction. Reducing the number of… (more)

Subjects/Keywords: compressed sensing; compressive sampling; wireless sensor network; data-gathering; depthmap compression

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APA (6th Edition):

Lee, S. (2013). Application-driven compressed sensing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/313894/rec/859

Chicago Manual of Style (16th Edition):

Lee, Sungwon. “Application-driven compressed sensing.” 2013. Doctoral Dissertation, University of Southern California. Accessed March 01, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/313894/rec/859.

MLA Handbook (7th Edition):

Lee, Sungwon. “Application-driven compressed sensing.” 2013. Web. 01 Mar 2021.

Vancouver:

Lee S. Application-driven compressed sensing. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2021 Mar 01]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/313894/rec/859.

Council of Science Editors:

Lee S. Application-driven compressed sensing. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/313894/rec/859


Brno University of Technology

16. Hrbáček, Radek. Compressive sampling a simulace one-pixel camera: Compressive sampling and simulation of one-pixel camera.

Degree: 2019, Brno University of Technology

 The Nyquist theorem is the main pillar of the traditional digital signal processing approach. It states that the sampling rate must be at least twice… (more)

Subjects/Keywords: zpracování signálů a obrazů; Nyquistův teorém; compressive sampling; one-pixel camera; lineární programování; l1-minimalizace; signal and image processing; Nyquist theorem; compressive sampling; one-pixel camera; linear programming; l1-optimization

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APA (6th Edition):

Hrbáček, R. (2019). Compressive sampling a simulace one-pixel camera: Compressive sampling and simulation of one-pixel camera. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/4993

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):

Hrbáček, Radek. “Compressive sampling a simulace one-pixel camera: Compressive sampling and simulation of one-pixel camera.” 2019. Thesis, Brno University of Technology. Accessed March 01, 2021. http://hdl.handle.net/11012/4993.

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

MLA Handbook (7th Edition):

Hrbáček, Radek. “Compressive sampling a simulace one-pixel camera: Compressive sampling and simulation of one-pixel camera.” 2019. Web. 01 Mar 2021.

Vancouver:

Hrbáček R. Compressive sampling a simulace one-pixel camera: Compressive sampling and simulation of one-pixel camera. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11012/4993.

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

Council of Science Editors:

Hrbáček R. Compressive sampling a simulace one-pixel camera: Compressive sampling and simulation of one-pixel camera. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/4993

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


McMaster University

17. Pournaghi, Reza. Coded Acquisition of High Speed Videos with Multiple Cameras.

Degree: PhD, 2015, McMaster University

High frame rate video (HFV) is an important investigational tool in sciences, engineering and military. In ultrahigh speed imaging, the obtainable temporal, spatial and spectral… (more)

Subjects/Keywords: Compressive Sensing; High Speed Video; Coded Acquisition; Random Sampling; Sparse Representation; Digital Cameras; Rolling Shutter

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

APA (6th Edition):

Pournaghi, R. (2015). Coded Acquisition of High Speed Videos with Multiple Cameras. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/16887

Chicago Manual of Style (16th Edition):

Pournaghi, Reza. “Coded Acquisition of High Speed Videos with Multiple Cameras.” 2015. Doctoral Dissertation, McMaster University. Accessed March 01, 2021. http://hdl.handle.net/11375/16887.

MLA Handbook (7th Edition):

Pournaghi, Reza. “Coded Acquisition of High Speed Videos with Multiple Cameras.” 2015. Web. 01 Mar 2021.

Vancouver:

Pournaghi R. Coded Acquisition of High Speed Videos with Multiple Cameras. [Internet] [Doctoral dissertation]. McMaster University; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11375/16887.

Council of Science Editors:

Pournaghi R. Coded Acquisition of High Speed Videos with Multiple Cameras. [Doctoral Dissertation]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/16887


Delft University of Technology

18. Lamelas Polo, Y. (author). Compressive Wideband Spectrum Sensing for Cognitive Radio Applications.

Degree: Electrical Engineering, Mathematics and Computer Science, Telecommunications, 2008, Delft University of Technology

It has been widely recognized that utilization of radio spectrum by licensed wireless systems, e.g., TV broadcasting, aeronautical telemetry, is quite low. In particular, at… (more)

Subjects/Keywords: cognitive radio; spectrum sensing; compressive sampling

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APA (6th Edition):

Lamelas Polo, Y. (. (2008). Compressive Wideband Spectrum Sensing for Cognitive Radio Applications. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:2f16fbcc-1a61-4144-bcd2-72effdfc2b9d

Chicago Manual of Style (16th Edition):

Lamelas Polo, Y (author). “Compressive Wideband Spectrum Sensing for Cognitive Radio Applications.” 2008. Masters Thesis, Delft University of Technology. Accessed March 01, 2021. http://resolver.tudelft.nl/uuid:2f16fbcc-1a61-4144-bcd2-72effdfc2b9d.

MLA Handbook (7th Edition):

Lamelas Polo, Y (author). “Compressive Wideband Spectrum Sensing for Cognitive Radio Applications.” 2008. Web. 01 Mar 2021.

Vancouver:

Lamelas Polo Y(. Compressive Wideband Spectrum Sensing for Cognitive Radio Applications. [Internet] [Masters thesis]. Delft University of Technology; 2008. [cited 2021 Mar 01]. Available from: http://resolver.tudelft.nl/uuid:2f16fbcc-1a61-4144-bcd2-72effdfc2b9d.

Council of Science Editors:

Lamelas Polo Y(. Compressive Wideband Spectrum Sensing for Cognitive Radio Applications. [Masters Thesis]. Delft University of Technology; 2008. Available from: http://resolver.tudelft.nl/uuid:2f16fbcc-1a61-4144-bcd2-72effdfc2b9d


Duke University

19. Holmgren, Andrew. Coding Strategies for X-ray Tomography .

Degree: 2016, Duke University

  This work focuses on the construction and application of coded apertures to compressive X-ray tomography. Coded apertures can be made in a number of… (more)

Subjects/Keywords: Electrical engineering; Physics; coded aperture; coherent scatter; collimation; compressive sampling; tomography; X-ray

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APA (6th Edition):

Holmgren, A. (2016). Coding Strategies for X-ray Tomography . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/12843

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):

Holmgren, Andrew. “Coding Strategies for X-ray Tomography .” 2016. Thesis, Duke University. Accessed March 01, 2021. http://hdl.handle.net/10161/12843.

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

MLA Handbook (7th Edition):

Holmgren, Andrew. “Coding Strategies for X-ray Tomography .” 2016. Web. 01 Mar 2021.

Vancouver:

Holmgren A. Coding Strategies for X-ray Tomography . [Internet] [Thesis]. Duke University; 2016. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10161/12843.

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

Council of Science Editors:

Holmgren A. Coding Strategies for X-ray Tomography . [Thesis]. Duke University; 2016. Available from: http://hdl.handle.net/10161/12843

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

20. Ajamian, Tzila. Exploration de l’Acquisition Comprimée appliquée à la Réflectométrie : Exploration of Compressive Sampling for Wire Diagnosis Systems Based on Reflectometry.

Degree: Docteur es, Signal, Image, Vision, 2019, Ecole centrale de Nantes

La réflectométrie, une technique utilisée en diagnostic filaire, permet la détection et la localisation de défauts des câbles. Alors que, les Convertisseurs Analogique-Numérique sont indispensables… (more)

Subjects/Keywords: Diagnostic filaire; Acquisition comprimée; Matrices parcimonieuses; Wire diagnosis; Compressive Sampling; Sparse matrices

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APA (6th Edition):

Ajamian, T. (2019). Exploration de l’Acquisition Comprimée appliquée à la Réflectométrie : Exploration of Compressive Sampling for Wire Diagnosis Systems Based on Reflectometry. (Doctoral Dissertation). Ecole centrale de Nantes. Retrieved from http://www.theses.fr/2019ECDN0040

Chicago Manual of Style (16th Edition):

Ajamian, Tzila. “Exploration de l’Acquisition Comprimée appliquée à la Réflectométrie : Exploration of Compressive Sampling for Wire Diagnosis Systems Based on Reflectometry.” 2019. Doctoral Dissertation, Ecole centrale de Nantes. Accessed March 01, 2021. http://www.theses.fr/2019ECDN0040.

MLA Handbook (7th Edition):

Ajamian, Tzila. “Exploration de l’Acquisition Comprimée appliquée à la Réflectométrie : Exploration of Compressive Sampling for Wire Diagnosis Systems Based on Reflectometry.” 2019. Web. 01 Mar 2021.

Vancouver:

Ajamian T. Exploration de l’Acquisition Comprimée appliquée à la Réflectométrie : Exploration of Compressive Sampling for Wire Diagnosis Systems Based on Reflectometry. [Internet] [Doctoral dissertation]. Ecole centrale de Nantes; 2019. [cited 2021 Mar 01]. Available from: http://www.theses.fr/2019ECDN0040.

Council of Science Editors:

Ajamian T. Exploration de l’Acquisition Comprimée appliquée à la Réflectométrie : Exploration of Compressive Sampling for Wire Diagnosis Systems Based on Reflectometry. [Doctoral Dissertation]. Ecole centrale de Nantes; 2019. Available from: http://www.theses.fr/2019ECDN0040


University of Maryland

21. Reddy, Nagilla Dikpal. SPARSE ACQUISITION AND RECONSTRUCTION FOR SOME COMPUTER VISION PROBLEMS.

Degree: Electrical Engineering, 2011, University of Maryland

 Sparse representation, acquisition and reconstruction of signals guided by theory of Compressive Sensing (CS) has become an active research research topic over the last few… (more)

Subjects/Keywords: Electrical engineering; Background Subtraction; Compressive Sensing; High Speed Cameras; Sampling; Sparse Representation; Video Reconstrcution

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APA (6th Edition):

Reddy, N. D. (2011). SPARSE ACQUISITION AND RECONSTRUCTION FOR SOME COMPUTER VISION PROBLEMS. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/11984

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):

Reddy, Nagilla Dikpal. “SPARSE ACQUISITION AND RECONSTRUCTION FOR SOME COMPUTER VISION PROBLEMS.” 2011. Thesis, University of Maryland. Accessed March 01, 2021. http://hdl.handle.net/1903/11984.

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

MLA Handbook (7th Edition):

Reddy, Nagilla Dikpal. “SPARSE ACQUISITION AND RECONSTRUCTION FOR SOME COMPUTER VISION PROBLEMS.” 2011. Web. 01 Mar 2021.

Vancouver:

Reddy ND. SPARSE ACQUISITION AND RECONSTRUCTION FOR SOME COMPUTER VISION PROBLEMS. [Internet] [Thesis]. University of Maryland; 2011. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1903/11984.

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

Council of Science Editors:

Reddy ND. SPARSE ACQUISITION AND RECONSTRUCTION FOR SOME COMPUTER VISION PROBLEMS. [Thesis]. University of Maryland; 2011. Available from: http://hdl.handle.net/1903/11984

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

22. Marnat, Marguerite. Récepteur radiofréquence basé sur l’échantillonnage parcimonieux pour de l'extraction de caractéristiques dans les applications de radio cognitive : Radiofrequency receiver based on compressive sampling for feature extraction in cognitive radio applications.

Degree: Docteur es, Signal image parole telecoms, 2018, Université Grenoble Alpes (ComUE)

Cette thèse traite de la conception de récepteurs radiofréquences basés sur l'acquisition compressée pour de l'estimation paramétrique en radio cognitive.L'acquisition compressée est un changement de… (more)

Subjects/Keywords: Acquisition compressée; Acquisition comprimée; Parcimonie; Radio cognitive; Estimation paramétrique; Mwc; Compressive Sampling; Compressive Sensing; Sparsity; Cognitive radio; Parametric estimation; Mwc; 004; 620

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

APA (6th Edition):

Marnat, M. (2018). Récepteur radiofréquence basé sur l’échantillonnage parcimonieux pour de l'extraction de caractéristiques dans les applications de radio cognitive : Radiofrequency receiver based on compressive sampling for feature extraction in cognitive radio applications. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2018GREAT093

Chicago Manual of Style (16th Edition):

Marnat, Marguerite. “Récepteur radiofréquence basé sur l’échantillonnage parcimonieux pour de l'extraction de caractéristiques dans les applications de radio cognitive : Radiofrequency receiver based on compressive sampling for feature extraction in cognitive radio applications.” 2018. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed March 01, 2021. http://www.theses.fr/2018GREAT093.

MLA Handbook (7th Edition):

Marnat, Marguerite. “Récepteur radiofréquence basé sur l’échantillonnage parcimonieux pour de l'extraction de caractéristiques dans les applications de radio cognitive : Radiofrequency receiver based on compressive sampling for feature extraction in cognitive radio applications.” 2018. Web. 01 Mar 2021.

Vancouver:

Marnat M. Récepteur radiofréquence basé sur l’échantillonnage parcimonieux pour de l'extraction de caractéristiques dans les applications de radio cognitive : Radiofrequency receiver based on compressive sampling for feature extraction in cognitive radio applications. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2018. [cited 2021 Mar 01]. Available from: http://www.theses.fr/2018GREAT093.

Council of Science Editors:

Marnat M. Récepteur radiofréquence basé sur l’échantillonnage parcimonieux pour de l'extraction de caractéristiques dans les applications de radio cognitive : Radiofrequency receiver based on compressive sampling for feature extraction in cognitive radio applications. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2018. Available from: http://www.theses.fr/2018GREAT093


University of Colorado

23. Peng, Ji. Uncertainty Quantification via Sparse Polynomial Chaos Expansion.

Degree: PhD, Mechanical Engineering, 2015, University of Colorado

  Uncertainty quantification (UQ) is an emerging research area that aims to develop methods for accurate predictions of quantities of interest (QoI's) from complex engineering… (more)

Subjects/Keywords: Basis design; Compressive sampling; Polynomial chaos expansion; Sparse approximation; Uncertainty quantification; Applied Mathematics; Mechanical Engineering; Statistics and Probability

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APA (6th Edition):

Peng, J. (2015). Uncertainty Quantification via Sparse Polynomial Chaos Expansion. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/mcen_gradetds/112

Chicago Manual of Style (16th Edition):

Peng, Ji. “Uncertainty Quantification via Sparse Polynomial Chaos Expansion.” 2015. Doctoral Dissertation, University of Colorado. Accessed March 01, 2021. https://scholar.colorado.edu/mcen_gradetds/112.

MLA Handbook (7th Edition):

Peng, Ji. “Uncertainty Quantification via Sparse Polynomial Chaos Expansion.” 2015. Web. 01 Mar 2021.

Vancouver:

Peng J. Uncertainty Quantification via Sparse Polynomial Chaos Expansion. [Internet] [Doctoral dissertation]. University of Colorado; 2015. [cited 2021 Mar 01]. Available from: https://scholar.colorado.edu/mcen_gradetds/112.

Council of Science Editors:

Peng J. Uncertainty Quantification via Sparse Polynomial Chaos Expansion. [Doctoral Dissertation]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/mcen_gradetds/112


Delft University of Technology

24. Gishkori, S.S. (author). Compressive Sampling for PPM and FSK Modulated Signals.

Degree: 2009, Delft University of Technology

Efficiency of the Analog to Digital Converters (ADCs) has always been an issue of concern, especially, when it comes to sampling wide band signals which… (more)

Subjects/Keywords: Compressive Sampling; PPM; FSK; UWB; Compressed Sensing

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APA (6th Edition):

Gishkori, S. S. (. (2009). Compressive Sampling for PPM and FSK Modulated Signals. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:badbddb8-9f61-48a5-ac50-fc3e0bd719e9

Chicago Manual of Style (16th Edition):

Gishkori, S S (author). “Compressive Sampling for PPM and FSK Modulated Signals.” 2009. Masters Thesis, Delft University of Technology. Accessed March 01, 2021. http://resolver.tudelft.nl/uuid:badbddb8-9f61-48a5-ac50-fc3e0bd719e9.

MLA Handbook (7th Edition):

Gishkori, S S (author). “Compressive Sampling for PPM and FSK Modulated Signals.” 2009. Web. 01 Mar 2021.

Vancouver:

Gishkori SS(. Compressive Sampling for PPM and FSK Modulated Signals. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2021 Mar 01]. Available from: http://resolver.tudelft.nl/uuid:badbddb8-9f61-48a5-ac50-fc3e0bd719e9.

Council of Science Editors:

Gishkori SS(. Compressive Sampling for PPM and FSK Modulated Signals. [Masters Thesis]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:badbddb8-9f61-48a5-ac50-fc3e0bd719e9

25. DORNOOSH ZONOOBI. SIGNAL RECONSTRUCTION FROM COMPRESSIVE SAMPLES.

Degree: 2012, National University of Singapore

Subjects/Keywords: Compressive Sensing; Signal Reconstruction; Image Sampling; Sparsity measures; Optimization

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APA (6th Edition):

ZONOOBI, D. (2012). SIGNAL RECONSTRUCTION FROM COMPRESSIVE SAMPLES. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/36534

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):

ZONOOBI, DORNOOSH. “SIGNAL RECONSTRUCTION FROM COMPRESSIVE SAMPLES.” 2012. Thesis, National University of Singapore. Accessed March 01, 2021. http://scholarbank.nus.edu.sg/handle/10635/36534.

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

MLA Handbook (7th Edition):

ZONOOBI, DORNOOSH. “SIGNAL RECONSTRUCTION FROM COMPRESSIVE SAMPLES.” 2012. Web. 01 Mar 2021.

Vancouver:

ZONOOBI D. SIGNAL RECONSTRUCTION FROM COMPRESSIVE SAMPLES. [Internet] [Thesis]. National University of Singapore; 2012. [cited 2021 Mar 01]. Available from: http://scholarbank.nus.edu.sg/handle/10635/36534.

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

Council of Science Editors:

ZONOOBI D. SIGNAL RECONSTRUCTION FROM COMPRESSIVE SAMPLES. [Thesis]. National University of Singapore; 2012. Available from: http://scholarbank.nus.edu.sg/handle/10635/36534

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


Georgia Tech

26. Luo, Chenchi. Non-uniform sampling: algorithms and architectures.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 Modern signal processing applications emerging in telecommunication and instrumentation industries have placed an increasing demand for ADCs with higher speed and resolution. The most fundamental… (more)

Subjects/Keywords: TIADC; Farrow structure; Compressive sensing; Sparsity; Analog-to-digital converters; Sampling (Statistics); Algorithms; Signal processing; Signal processing Digital techniques

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APA (6th Edition):

Luo, C. (2012). Non-uniform sampling: algorithms and architectures. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/45873

Chicago Manual of Style (16th Edition):

Luo, Chenchi. “Non-uniform sampling: algorithms and architectures.” 2012. Doctoral Dissertation, Georgia Tech. Accessed March 01, 2021. http://hdl.handle.net/1853/45873.

MLA Handbook (7th Edition):

Luo, Chenchi. “Non-uniform sampling: algorithms and architectures.” 2012. Web. 01 Mar 2021.

Vancouver:

Luo C. Non-uniform sampling: algorithms and architectures. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1853/45873.

Council of Science Editors:

Luo C. Non-uniform sampling: algorithms and architectures. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/45873


University of North Texas

27. Ruprecht, Nathan Alexander. Implementation of Compressive Sampling for Wireless Sensor Network Applications.

Degree: 2018, University of North Texas

 One of the challenges of utilizing higher frequencies in the RF spectrum, for any number of applications, is the hardware constraints of analog-to-digital converters (ADCs).… (more)

Subjects/Keywords: compressive sampling; compressed sensing; digital signal processing; wireless sensor network; MSP432; Raspberry Pi 3; Matlab; Engineering, Electronics and Electrical

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APA (6th Edition):

Ruprecht, N. A. (2018). Implementation of Compressive Sampling for Wireless Sensor Network Applications. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1157614/

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):

Ruprecht, Nathan Alexander. “Implementation of Compressive Sampling for Wireless Sensor Network Applications.” 2018. Thesis, University of North Texas. Accessed March 01, 2021. https://digital.library.unt.edu/ark:/67531/metadc1157614/.

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

MLA Handbook (7th Edition):

Ruprecht, Nathan Alexander. “Implementation of Compressive Sampling for Wireless Sensor Network Applications.” 2018. Web. 01 Mar 2021.

Vancouver:

Ruprecht NA. Implementation of Compressive Sampling for Wireless Sensor Network Applications. [Internet] [Thesis]. University of North Texas; 2018. [cited 2021 Mar 01]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157614/.

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

Council of Science Editors:

Ruprecht NA. Implementation of Compressive Sampling for Wireless Sensor Network Applications. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157614/

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


The Ohio State University

28. Sugavanam, Nithin. Compressive sampling in radar imaging.

Degree: PhD, Electrical and Computer Engineering, 2017, The Ohio State University

 Multi-channel wideband radar has proven to be an indispensable tool for many surveillance applications. However, achieving higher resolution with current architectures comes at the cost… (more)

Subjects/Keywords: Electrical Engineering; Compressive sampling; MIMO radar imaging; Monostatic synthetic aperture radar imaging; Bistatic synthetic aperture radar imaging

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APA (6th Edition):

Sugavanam, N. (2017). Compressive sampling in radar imaging. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1503277528254942

Chicago Manual of Style (16th Edition):

Sugavanam, Nithin. “Compressive sampling in radar imaging.” 2017. Doctoral Dissertation, The Ohio State University. Accessed March 01, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1503277528254942.

MLA Handbook (7th Edition):

Sugavanam, Nithin. “Compressive sampling in radar imaging.” 2017. Web. 01 Mar 2021.

Vancouver:

Sugavanam N. Compressive sampling in radar imaging. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2021 Mar 01]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1503277528254942.

Council of Science Editors:

Sugavanam N. Compressive sampling in radar imaging. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1503277528254942

29. Khaled, Yassine. Contribution à la commande et l'observation des systèmes dynamiques continus sous mesures clairsemées : Contribution to the observation and control of continuous systems under sparse measurements.

Degree: Docteur es, Génie électrique et électronique - Cergy, 2014, Cergy-Pontoise; Université Abou Bekr Belkaid (Tlemcen, Algérie)

Les travaux de cette thèse portent sur l'analyse de stabilité des systèmes dynamiques impulsionnels et la synthèse d'observateurs pour les systèmes dynamiques continus avec mesures… (more)

Subjects/Keywords: Observateurs impulsionnels; Mesures clairsemées; Systèmes sous échantillonnage; Acquisition compressive; Systèmes dynamiques impulsionnels; Chaos; Impulsive observer; Sparse measurement; System under sampling; System under sampling; Impulsive dynamical systems; Chaos

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

APA (6th Edition):

Khaled, Y. (2014). Contribution à la commande et l'observation des systèmes dynamiques continus sous mesures clairsemées : Contribution to the observation and control of continuous systems under sparse measurements. (Doctoral Dissertation). Cergy-Pontoise; Université Abou Bekr Belkaid (Tlemcen, Algérie). Retrieved from http://www.theses.fr/2014CERG0706

Chicago Manual of Style (16th Edition):

Khaled, Yassine. “Contribution à la commande et l'observation des systèmes dynamiques continus sous mesures clairsemées : Contribution to the observation and control of continuous systems under sparse measurements.” 2014. Doctoral Dissertation, Cergy-Pontoise; Université Abou Bekr Belkaid (Tlemcen, Algérie). Accessed March 01, 2021. http://www.theses.fr/2014CERG0706.

MLA Handbook (7th Edition):

Khaled, Yassine. “Contribution à la commande et l'observation des systèmes dynamiques continus sous mesures clairsemées : Contribution to the observation and control of continuous systems under sparse measurements.” 2014. Web. 01 Mar 2021.

Vancouver:

Khaled Y. Contribution à la commande et l'observation des systèmes dynamiques continus sous mesures clairsemées : Contribution to the observation and control of continuous systems under sparse measurements. [Internet] [Doctoral dissertation]. Cergy-Pontoise; Université Abou Bekr Belkaid (Tlemcen, Algérie); 2014. [cited 2021 Mar 01]. Available from: http://www.theses.fr/2014CERG0706.

Council of Science Editors:

Khaled Y. Contribution à la commande et l'observation des systèmes dynamiques continus sous mesures clairsemées : Contribution to the observation and control of continuous systems under sparse measurements. [Doctoral Dissertation]. Cergy-Pontoise; Université Abou Bekr Belkaid (Tlemcen, Algérie); 2014. Available from: http://www.theses.fr/2014CERG0706

30. Humston, Jonathan James. Compressive sampling methods applied to 2D IR spectroscopy.

Degree: PhD, Chemistry, 2017, University of Iowa

  Two-dimensional infrared spectroscopy (2D IR) is a powerful tool to investigate molecular structures and dynamics on femtosecond to picosecond time scales and is applied… (more)

Subjects/Keywords: 2D IR Spectroscopy; Compressive Sampling; Image Processing; Microscopy; Chemistry

…1 2. GROUP TESTING AND COMPRESSIVE SAMPLING.......................................... 4… …13 Compressive Sampling… …16 3. COMPRESSIVE SAMPLING IMAGING… …41 2D IR Compressive Sampling Microscopy… …103 vii LIST OF TABLES TABLE 4.1 CLS PARAMETERS WITH COMPRESSIVE SAMPLING… 

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APA (6th Edition):

Humston, J. J. (2017). Compressive sampling methods applied to 2D IR spectroscopy. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/5949

Chicago Manual of Style (16th Edition):

Humston, Jonathan James. “Compressive sampling methods applied to 2D IR spectroscopy.” 2017. Doctoral Dissertation, University of Iowa. Accessed March 01, 2021. https://ir.uiowa.edu/etd/5949.

MLA Handbook (7th Edition):

Humston, Jonathan James. “Compressive sampling methods applied to 2D IR spectroscopy.” 2017. Web. 01 Mar 2021.

Vancouver:

Humston JJ. Compressive sampling methods applied to 2D IR spectroscopy. [Internet] [Doctoral dissertation]. University of Iowa; 2017. [cited 2021 Mar 01]. Available from: https://ir.uiowa.edu/etd/5949.

Council of Science Editors:

Humston JJ. Compressive sampling methods applied to 2D IR spectroscopy. [Doctoral Dissertation]. University of Iowa; 2017. Available from: https://ir.uiowa.edu/etd/5949

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