Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"Penn State University" +contributor:("Ram Mohan Narayanan, Dissertation Advisor/Co-Advisor"). Showing records 1 – 15 of 15 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Penn State University

1. Shastry, Mahesh Chandramouli. Compressively Sampled Radar Using Random Waveforms.

Degree: 2013, Penn State University

 Compressive sensing (also referred to as compressed sensing) refers to the theory and practice of exploiting sparsity in physical measurements to acquire fewer samples than… (more)

Subjects/Keywords: compressive sensing; radar; sparsity; signal processing; noise radar

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shastry, M. C. (2013). Compressively Sampled Radar Using Random Waveforms. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/18739

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):

Shastry, Mahesh Chandramouli. “Compressively Sampled Radar Using Random Waveforms.” 2013. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/18739.

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

MLA Handbook (7th Edition):

Shastry, Mahesh Chandramouli. “Compressively Sampled Radar Using Random Waveforms.” 2013. Web. 22 Oct 2020.

Vancouver:

Shastry MC. Compressively Sampled Radar Using Random Waveforms. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/18739.

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

Council of Science Editors:

Shastry MC. Compressively Sampled Radar Using Random Waveforms. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/18739

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


Penn State University

2. Bufler, Travis Dale. Radar Signature Analysis of Indoor Clutter and stationary Human Target Classification.

Degree: 2016, Penn State University

 Research in through-the-wall radar (TTWR) is a recent area of focus and as such many challenges have arisen related to target detection, location, and tracking.… (more)

Subjects/Keywords: Radar; SVM; FDTD; RCS; Indoor Clutter; Human Scattering; Target Classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bufler, T. D. (2016). Radar Signature Analysis of Indoor Clutter and stationary Human Target Classification. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/28796

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):

Bufler, Travis Dale. “Radar Signature Analysis of Indoor Clutter and stationary Human Target Classification.” 2016. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/28796.

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

MLA Handbook (7th Edition):

Bufler, Travis Dale. “Radar Signature Analysis of Indoor Clutter and stationary Human Target Classification.” 2016. Web. 22 Oct 2020.

Vancouver:

Bufler TD. Radar Signature Analysis of Indoor Clutter and stationary Human Target Classification. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/28796.

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

Council of Science Editors:

Bufler TD. Radar Signature Analysis of Indoor Clutter and stationary Human Target Classification. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/28796

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


Penn State University

3. Shin, Hee Jung. Ultra wideband noise tomography: principles and validation.

Degree: 2015, Penn State University

 Imaging techniques have been used for a long time in many applications such as nondestructive testing, medical diagnosis, civil infrastructure assessment, and homeland security. Advances… (more)

Subjects/Keywords: Noise radar; diffraction tomography; Ultra wideband

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shin, H. J. (2015). Ultra wideband noise tomography: principles and validation. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26626

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):

Shin, Hee Jung. “Ultra wideband noise tomography: principles and validation.” 2015. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/26626.

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

MLA Handbook (7th Edition):

Shin, Hee Jung. “Ultra wideband noise tomography: principles and validation.” 2015. Web. 22 Oct 2020.

Vancouver:

Shin HJ. Ultra wideband noise tomography: principles and validation. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/26626.

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

Council of Science Editors:

Shin HJ. Ultra wideband noise tomography: principles and validation. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26626

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


Penn State University

4. Bhat, Surendra Shantaram. Multimodal Radar - Concept, Operation, Bandwidth Sharing and Scheduling.

Degree: 2012, Penn State University

 Recent developments in radar have lead to them becoming multifunction, adaptive and cognitive. Radar waveform design has also been proposed for optimal detection and target… (more)

Subjects/Keywords: Multimodal radar; LFM; HRR; LRR Bandwidth sharing; Bandwidth Optimization; Radar scheduling

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bhat, S. S. (2012). Multimodal Radar - Concept, Operation, Bandwidth Sharing and Scheduling. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15771

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):

Bhat, Surendra Shantaram. “Multimodal Radar - Concept, Operation, Bandwidth Sharing and Scheduling.” 2012. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/15771.

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

MLA Handbook (7th Edition):

Bhat, Surendra Shantaram. “Multimodal Radar - Concept, Operation, Bandwidth Sharing and Scheduling.” 2012. Web. 22 Oct 2020.

Vancouver:

Bhat SS. Multimodal Radar - Concept, Operation, Bandwidth Sharing and Scheduling. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/15771.

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

Council of Science Editors:

Bhat SS. Multimodal Radar - Concept, Operation, Bandwidth Sharing and Scheduling. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15771

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


Penn State University

5. Kim, Tae Hee. Application of Radio Frequency Noiselet Waveforms for Nondestructive Imaging of Multilayered Structures.

Degree: 2018, Penn State University

 Nondestructive testing (NDT) is an inspection method used to determine the inner structure of a material without inflicting damage upon it. There are several NDT… (more)

Subjects/Keywords: Radio Frequency; Noiselet Waveform; Microwave; Synthetic Aperture Radar; Radar Imaging; Nondestructive Testing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kim, T. H. (2018). Application of Radio Frequency Noiselet Waveforms for Nondestructive Imaging of Multilayered Structures. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15876tzk137

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):

Kim, Tae Hee. “Application of Radio Frequency Noiselet Waveforms for Nondestructive Imaging of Multilayered Structures.” 2018. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/15876tzk137.

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

MLA Handbook (7th Edition):

Kim, Tae Hee. “Application of Radio Frequency Noiselet Waveforms for Nondestructive Imaging of Multilayered Structures.” 2018. Web. 22 Oct 2020.

Vancouver:

Kim TH. Application of Radio Frequency Noiselet Waveforms for Nondestructive Imaging of Multilayered Structures. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/15876tzk137.

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

Council of Science Editors:

Kim TH. Application of Radio Frequency Noiselet Waveforms for Nondestructive Imaging of Multilayered Structures. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15876tzk137

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


Penn State University

6. Zhou, Huiyuan. MICROWAVE INVERSE RECONSTRUCTION METHODS FOR IMAGING.

Degree: 2019, Penn State University

 In this thesis, various microwave inverse scattering methods are developed, which are able to be applied to biomedical applications, such as localization of capsule endoscope,… (more)

Subjects/Keywords: Microwave Imaging; Dual Mesh; Distmesh; Levenberg Marquardt; Iteratve Method with Adaptive Threshold; Non-decimated Wavelet Transformation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhou, H. (2019). MICROWAVE INVERSE RECONSTRUCTION METHODS FOR IMAGING. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16210huz118

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):

Zhou, Huiyuan. “MICROWAVE INVERSE RECONSTRUCTION METHODS FOR IMAGING.” 2019. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/16210huz118.

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

MLA Handbook (7th Edition):

Zhou, Huiyuan. “MICROWAVE INVERSE RECONSTRUCTION METHODS FOR IMAGING.” 2019. Web. 22 Oct 2020.

Vancouver:

Zhou H. MICROWAVE INVERSE RECONSTRUCTION METHODS FOR IMAGING. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/16210huz118.

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

Council of Science Editors:

Zhou H. MICROWAVE INVERSE RECONSTRUCTION METHODS FOR IMAGING. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16210huz118

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


Penn State University

7. Huang, Ming-shih. Trilateration-Based Localization Algorithm for ADS-B Systems.

Degree: 2013, Penn State University

 Rapidly increasing growth and demand in various unmanned aerial vehicles (UAV) have pushed governmental regulation development and numerous technology research advances toward integrating unmanned and… (more)

Subjects/Keywords: ADS-B; Radar system; Trilateration; Lemoine point

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Huang, M. (2013). Trilateration-Based Localization Algorithm for ADS-B Systems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17365

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):

Huang, Ming-shih. “Trilateration-Based Localization Algorithm for ADS-B Systems.” 2013. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/17365.

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

MLA Handbook (7th Edition):

Huang, Ming-shih. “Trilateration-Based Localization Algorithm for ADS-B Systems.” 2013. Web. 22 Oct 2020.

Vancouver:

Huang M. Trilateration-Based Localization Algorithm for ADS-B Systems. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/17365.

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

Council of Science Editors:

Huang M. Trilateration-Based Localization Algorithm for ADS-B Systems. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/17365

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


Penn State University

8. Fairchild, Dustin Paul. Classification and Modeling of Human Activities Using Empirical Mode Decomposition with S-Band and Millimeter-Wave Micro-Doppler Radars.

Degree: 2013, Penn State University

 The ability to identify human movements can be an important tool in many different applications such as surveillance, military combat situations, search and rescue operations,… (more)

Subjects/Keywords: Micro-Doppler Radar; Empirical Mode Decomposition; Support Vector Machine; Human Motion Classification; Bistatic Doppler

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Fairchild, D. P. (2013). Classification and Modeling of Human Activities Using Empirical Mode Decomposition with S-Band and Millimeter-Wave Micro-Doppler Radars. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/19573

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):

Fairchild, Dustin Paul. “Classification and Modeling of Human Activities Using Empirical Mode Decomposition with S-Band and Millimeter-Wave Micro-Doppler Radars.” 2013. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/19573.

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

MLA Handbook (7th Edition):

Fairchild, Dustin Paul. “Classification and Modeling of Human Activities Using Empirical Mode Decomposition with S-Band and Millimeter-Wave Micro-Doppler Radars.” 2013. Web. 22 Oct 2020.

Vancouver:

Fairchild DP. Classification and Modeling of Human Activities Using Empirical Mode Decomposition with S-Band and Millimeter-Wave Micro-Doppler Radars. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/19573.

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

Council of Science Editors:

Fairchild DP. Classification and Modeling of Human Activities Using Empirical Mode Decomposition with S-Band and Millimeter-Wave Micro-Doppler Radars. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/19573

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


Penn State University

9. Kaiser, Sean A. Multistatic Passive Coherent Location using the Global Positioning System.

Degree: 2017, Penn State University

 Passive coherent location (PCL) is a field of interest in the radar community. PCL requires no transmitter and instead uses opportunistic transmissions to accomplish the… (more)

Subjects/Keywords: Passive Radar; Passive Coherent Location; Global Positioning System; Multistatic PCL

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kaiser, S. A. (2017). Multistatic Passive Coherent Location using the Global Positioning System. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14255sak5285

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):

Kaiser, Sean A. “Multistatic Passive Coherent Location using the Global Positioning System.” 2017. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/14255sak5285.

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

MLA Handbook (7th Edition):

Kaiser, Sean A. “Multistatic Passive Coherent Location using the Global Positioning System.” 2017. Web. 22 Oct 2020.

Vancouver:

Kaiser SA. Multistatic Passive Coherent Location using the Global Positioning System. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/14255sak5285.

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

Council of Science Editors:

Kaiser SA. Multistatic Passive Coherent Location using the Global Positioning System. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14255sak5285

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


Penn State University

10. Pan, Qihe. RFID RADAR TAG SYSTEM DESIGN USING ULTRAWIDEBAND NOISE WAVEFORMS .

Degree: 2011, Penn State University

 Radio frequency identification (RFID) tags are small electronic devices working in the radio frequency range. They use wireless radio communications to automatically identify objects or… (more)

Subjects/Keywords: network; system; noise waveforms; radar; RFID tag

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Pan, Q. (2011). RFID RADAR TAG SYSTEM DESIGN USING ULTRAWIDEBAND NOISE WAVEFORMS . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12498

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):

Pan, Qihe. “RFID RADAR TAG SYSTEM DESIGN USING ULTRAWIDEBAND NOISE WAVEFORMS .” 2011. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/12498.

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

MLA Handbook (7th Edition):

Pan, Qihe. “RFID RADAR TAG SYSTEM DESIGN USING ULTRAWIDEBAND NOISE WAVEFORMS .” 2011. Web. 22 Oct 2020.

Vancouver:

Pan Q. RFID RADAR TAG SYSTEM DESIGN USING ULTRAWIDEBAND NOISE WAVEFORMS . [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/12498.

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

Council of Science Editors:

Pan Q. RFID RADAR TAG SYSTEM DESIGN USING ULTRAWIDEBAND NOISE WAVEFORMS . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12498

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


Penn State University

11. Gallagher, Kyle A. HARMONIC RADAR: THEORY AND APPLICATIONS TONONLINEAR TARGET DETECTION, TRACKING, IMAGINGAND CLASSIFICATION.

Degree: 2015, Penn State University

 The existence of nonlinearities in electrical circuits is well known. Circuit components such as diodes, amplifiers, and mixers are known to exhibit nonlinear behavior. In… (more)

Subjects/Keywords: Harmonic Radar; Nonlinear Radar; Harmonic Detection; Harmonic SAR; Nonlinear SAR; Harmonic MTI; Nonlinear MTI

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Gallagher, K. A. (2015). HARMONIC RADAR: THEORY AND APPLICATIONS TONONLINEAR TARGET DETECTION, TRACKING, IMAGINGAND CLASSIFICATION. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/27417

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):

Gallagher, Kyle A. “HARMONIC RADAR: THEORY AND APPLICATIONS TONONLINEAR TARGET DETECTION, TRACKING, IMAGINGAND CLASSIFICATION.” 2015. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/27417.

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

MLA Handbook (7th Edition):

Gallagher, Kyle A. “HARMONIC RADAR: THEORY AND APPLICATIONS TONONLINEAR TARGET DETECTION, TRACKING, IMAGINGAND CLASSIFICATION.” 2015. Web. 22 Oct 2020.

Vancouver:

Gallagher KA. HARMONIC RADAR: THEORY AND APPLICATIONS TONONLINEAR TARGET DETECTION, TRACKING, IMAGINGAND CLASSIFICATION. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/27417.

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

Council of Science Editors:

Gallagher KA. HARMONIC RADAR: THEORY AND APPLICATIONS TONONLINEAR TARGET DETECTION, TRACKING, IMAGINGAND CLASSIFICATION. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/27417

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


Penn State University

12. Riley, Elliot Jay. Application of Unidirectional Carbon-Fiber-Reinforced-Polymer Laminas in Circuit-Analog Absorbers.

Degree: 2018, Penn State University

 This dissertation presents research that advances the use of unidirectional carbon-fiber-reinforced-polymer (CFRP) laminas in electromagnetic absorbers. Specifically, the use of wet-layup and pre-preg unidirectional CFRP… (more)

Subjects/Keywords: Circuit-analog absorbers; Unidirectional carbon fiber; Radar-absorbing structures

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Riley, E. J. (2018). Application of Unidirectional Carbon-Fiber-Reinforced-Polymer Laminas in Circuit-Analog Absorbers. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14983ejr5046

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):

Riley, Elliot Jay. “Application of Unidirectional Carbon-Fiber-Reinforced-Polymer Laminas in Circuit-Analog Absorbers.” 2018. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/14983ejr5046.

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

MLA Handbook (7th Edition):

Riley, Elliot Jay. “Application of Unidirectional Carbon-Fiber-Reinforced-Polymer Laminas in Circuit-Analog Absorbers.” 2018. Web. 22 Oct 2020.

Vancouver:

Riley EJ. Application of Unidirectional Carbon-Fiber-Reinforced-Polymer Laminas in Circuit-Analog Absorbers. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/14983ejr5046.

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

Council of Science Editors:

Riley EJ. Application of Unidirectional Carbon-Fiber-Reinforced-Polymer Laminas in Circuit-Analog Absorbers. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/14983ejr5046

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


Penn State University

13. Kwon, Yangsoo. TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR SYSTEMS.

Degree: 2012, Penn State University

 Ultra-wideband (UWB) noise radar has been widely considered as a promising technique for covert high-resolution detection of multiple targets due to several advantages such as… (more)

Subjects/Keywords: noise radar; target detection; MIMO radar

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kwon, Y. (2012). TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR SYSTEMS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15716

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):

Kwon, Yangsoo. “TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR SYSTEMS.” 2012. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/15716.

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

MLA Handbook (7th Edition):

Kwon, Yangsoo. “TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR SYSTEMS.” 2012. Web. 22 Oct 2020.

Vancouver:

Kwon Y. TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR SYSTEMS. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/15716.

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

Council of Science Editors:

Kwon Y. TARGET DETECTION IN ULTRA-WIDEBAND NOISE RADAR SYSTEMS. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15716

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


Penn State University

14. Chen, Wei-Jen. DETECTION AND ESTIMATION IN ULTRAWIDEBAND MIMO NOISE RADAR .

Degree: 2010, Penn State University

 In radar systems, the wider the bandwidth, the better is the range resolution. While a variety of transmit waveforms can be used, noise and noise-like… (more)

Subjects/Keywords: TDL BEAMFORMING; MIMO; ULTRAWIDEBAND; GENERALIZED LIKELIHOOD RATIO TEST

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chen, W. (2010). DETECTION AND ESTIMATION IN ULTRAWIDEBAND MIMO NOISE RADAR . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11146

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-Jen. “DETECTION AND ESTIMATION IN ULTRAWIDEBAND MIMO NOISE RADAR .” 2010. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/11146.

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-Jen. “DETECTION AND ESTIMATION IN ULTRAWIDEBAND MIMO NOISE RADAR .” 2010. Web. 22 Oct 2020.

Vancouver:

Chen W. DETECTION AND ESTIMATION IN ULTRAWIDEBAND MIMO NOISE RADAR . [Internet] [Thesis]. Penn State University; 2010. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/11146.

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. DETECTION AND ESTIMATION IN ULTRAWIDEBAND MIMO NOISE RADAR . [Thesis]. Penn State University; 2010. Available from: https://submit-etda.libraries.psu.edu/catalog/11146

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


Penn State University

15. Chen, Pin-Heng. DESIGN AND PERFORMANCE ANALYSIS OF A PORTABLE REAL-TIME THROUGH-WALL NOISE RADAR.

Degree: 2010, Penn State University

 The development of through-wall surveillance (TWS) technology started in the 1980s to assist in searching for survivors after natural disasters. Recently, significant endeavors have expanded… (more)

Subjects/Keywords: noise radar; through-wall sensing; through-wall imaging; correlation technique; active circulator

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chen, P. (2010). DESIGN AND PERFORMANCE ANALYSIS OF A PORTABLE REAL-TIME THROUGH-WALL NOISE RADAR. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/11312

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, Pin-Heng. “DESIGN AND PERFORMANCE ANALYSIS OF A PORTABLE REAL-TIME THROUGH-WALL NOISE RADAR.” 2010. Thesis, Penn State University. Accessed October 22, 2020. https://submit-etda.libraries.psu.edu/catalog/11312.

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

MLA Handbook (7th Edition):

Chen, Pin-Heng. “DESIGN AND PERFORMANCE ANALYSIS OF A PORTABLE REAL-TIME THROUGH-WALL NOISE RADAR.” 2010. Web. 22 Oct 2020.

Vancouver:

Chen P. DESIGN AND PERFORMANCE ANALYSIS OF A PORTABLE REAL-TIME THROUGH-WALL NOISE RADAR. [Internet] [Thesis]. Penn State University; 2010. [cited 2020 Oct 22]. Available from: https://submit-etda.libraries.psu.edu/catalog/11312.

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

Council of Science Editors:

Chen P. DESIGN AND PERFORMANCE ANALYSIS OF A PORTABLE REAL-TIME THROUGH-WALL NOISE RADAR. [Thesis]. Penn State University; 2010. Available from: https://submit-etda.libraries.psu.edu/catalog/11312

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

.