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You searched for +publisher:"Virginia Tech" +contributor:("Buehrer, Richard M."). Showing records 1 – 28 of 28 total matches.

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Virginia Tech

1. Patterson, Cameron Webster. An Economic Model of Subscriber Offloading Between Mobile Network Operators and a WLAN Operator.

Degree: MS, Electrical and Computer Engineering, 2014, Virginia Tech

 With increasing mobile data demand there is a push towards heterogeneous networks. Small-scale operators (SSOs) of WLANs are becoming more prevalent, while Mobile Network Operators… (more)

Subjects/Keywords: Cellular; WLAN; Wi-Fi; heterogeneous wireless network; pricing; economic model; optimization

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APA (6th Edition):

Patterson, C. W. (2014). An Economic Model of Subscriber Offloading Between Mobile Network Operators and a WLAN Operator. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/50660

Chicago Manual of Style (16th Edition):

Patterson, Cameron Webster. “An Economic Model of Subscriber Offloading Between Mobile Network Operators and a WLAN Operator.” 2014. Masters Thesis, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/50660.

MLA Handbook (7th Edition):

Patterson, Cameron Webster. “An Economic Model of Subscriber Offloading Between Mobile Network Operators and a WLAN Operator.” 2014. Web. 17 Sep 2019.

Vancouver:

Patterson CW. An Economic Model of Subscriber Offloading Between Mobile Network Operators and a WLAN Operator. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/50660.

Council of Science Editors:

Patterson CW. An Economic Model of Subscriber Offloading Between Mobile Network Operators and a WLAN Operator. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/50660


Virginia Tech

2. Rao, Raghunandan M. Perspectives of Jamming, Mitigation and Pattern Adaptation of OFDM Pilot Signals for the Evolution of Wireless Networks.

Degree: MS, Electrical and Computer Engineering, 2016, Virginia Tech

 Wireless communication networks have evolved continuously over the last four decades in order to meet the traffic and security requirements due to the ever-increasing amount… (more)

Subjects/Keywords: Pilot Pattern Adaptation; OFDM systems; Long-Term Evolution (LTE)/LTE Cell-Specific Refe; Multi-tone Pilot Jamming; Channel Quality Indicator (CQI) Spoofing; Mitigation

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APA (6th Edition):

Rao, R. M. (2016). Perspectives of Jamming, Mitigation and Pattern Adaptation of OFDM Pilot Signals for the Evolution of Wireless Networks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77485

Chicago Manual of Style (16th Edition):

Rao, Raghunandan M. “Perspectives of Jamming, Mitigation and Pattern Adaptation of OFDM Pilot Signals for the Evolution of Wireless Networks.” 2016. Masters Thesis, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/77485.

MLA Handbook (7th Edition):

Rao, Raghunandan M. “Perspectives of Jamming, Mitigation and Pattern Adaptation of OFDM Pilot Signals for the Evolution of Wireless Networks.” 2016. Web. 17 Sep 2019.

Vancouver:

Rao RM. Perspectives of Jamming, Mitigation and Pattern Adaptation of OFDM Pilot Signals for the Evolution of Wireless Networks. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/77485.

Council of Science Editors:

Rao RM. Perspectives of Jamming, Mitigation and Pattern Adaptation of OFDM Pilot Signals for the Evolution of Wireless Networks. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/77485


Virginia Tech

3. Taylor, Ryan Charles. Received Signal Strength-Based Localization of Non-Collaborative Emitters in the Presence of Correlated Shadowing.

Degree: MS, Electrical and Computer Engineering, 2013, Virginia Tech

 RSS-based localization is a promising solution for estimating the position of a non-collaborative emitter using a network of collaborative sensors. This paper examines RSS-based localization… (more)

Subjects/Keywords: Received Signal Strength; Differential Received Signal Strength; Localization; Cram' er Rao Lower Bound; Correlated Shadowing

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APA (6th Edition):

Taylor, R. C. (2013). Received Signal Strength-Based Localization of Non-Collaborative Emitters in the Presence of Correlated Shadowing. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23078

Chicago Manual of Style (16th Edition):

Taylor, Ryan Charles. “Received Signal Strength-Based Localization of Non-Collaborative Emitters in the Presence of Correlated Shadowing.” 2013. Masters Thesis, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/23078.

MLA Handbook (7th Edition):

Taylor, Ryan Charles. “Received Signal Strength-Based Localization of Non-Collaborative Emitters in the Presence of Correlated Shadowing.” 2013. Web. 17 Sep 2019.

Vancouver:

Taylor RC. Received Signal Strength-Based Localization of Non-Collaborative Emitters in the Presence of Correlated Shadowing. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/23078.

Council of Science Editors:

Taylor RC. Received Signal Strength-Based Localization of Non-Collaborative Emitters in the Presence of Correlated Shadowing. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23078


Virginia Tech

4. Ryland, Kevin Sherwood. Software-Defined Radio Implementation of Two Physical Layer Security Techniques.

Degree: MS, Electrical Engineering, 2018, Virginia Tech

 This thesis discusses the design of two Physical Layer Security (PLS) techniques on Software Defined Radios (SDRs). PLS is a classification of security methods that… (more)

Subjects/Keywords: Physical Layer Security; Software Defined Radio; Alamouti STBC; Artificial Noise; Over-the-Air

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APA (6th Edition):

Ryland, K. S. (2018). Software-Defined Radio Implementation of Two Physical Layer Security Techniques. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82055

Chicago Manual of Style (16th Edition):

Ryland, Kevin Sherwood. “Software-Defined Radio Implementation of Two Physical Layer Security Techniques.” 2018. Masters Thesis, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/82055.

MLA Handbook (7th Edition):

Ryland, Kevin Sherwood. “Software-Defined Radio Implementation of Two Physical Layer Security Techniques.” 2018. Web. 17 Sep 2019.

Vancouver:

Ryland KS. Software-Defined Radio Implementation of Two Physical Layer Security Techniques. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/82055.

Council of Science Editors:

Ryland KS. Software-Defined Radio Implementation of Two Physical Layer Security Techniques. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/82055


Virginia Tech

5. Xiao, Yao. Vehicle Detection in Deep Learning.

Degree: MS, Electrical and Computer Engineering, 2019, Virginia Tech

 Computer vision techniques are becoming increasingly popular. For example, face recognition is used to help police find criminals, vehicle detection is used to prevent drivers… (more)

Subjects/Keywords: Vehicle Detection; Deep Learning; Convolutional Neural Networks; Image Processing; Architecture Design

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APA (6th Edition):

Xiao, Y. (2019). Vehicle Detection in Deep Learning. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/91375

Chicago Manual of Style (16th Edition):

Xiao, Yao. “Vehicle Detection in Deep Learning.” 2019. Masters Thesis, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/91375.

MLA Handbook (7th Edition):

Xiao, Yao. “Vehicle Detection in Deep Learning.” 2019. Web. 17 Sep 2019.

Vancouver:

Xiao Y. Vehicle Detection in Deep Learning. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/91375.

Council of Science Editors:

Xiao Y. Vehicle Detection in Deep Learning. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/91375


Virginia Tech

6. Kozy, Mark Alexander. Creation of a Cognitive Radar with Machine Learning: Simulation and Implementation.

Degree: MS, Electrical Engineering, 2019, Virginia Tech

 In this paper we address radar-communication coexistence by modelling the radar environment as a Markov Decision Process (MDP), and then apply Deep-Q Learning to optimize… (more)

Subjects/Keywords: Cognitive radar; machine learning; reinforcement learning; tracking radar; software defined radio

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APA (6th Edition):

Kozy, M. A. (2019). Creation of a Cognitive Radar with Machine Learning: Simulation and Implementation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/89948

Chicago Manual of Style (16th Edition):

Kozy, Mark Alexander. “Creation of a Cognitive Radar with Machine Learning: Simulation and Implementation.” 2019. Masters Thesis, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/89948.

MLA Handbook (7th Edition):

Kozy, Mark Alexander. “Creation of a Cognitive Radar with Machine Learning: Simulation and Implementation.” 2019. Web. 17 Sep 2019.

Vancouver:

Kozy MA. Creation of a Cognitive Radar with Machine Learning: Simulation and Implementation. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/89948.

Council of Science Editors:

Kozy MA. Creation of a Cognitive Radar with Machine Learning: Simulation and Implementation. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/89948


Virginia Tech

7. Fletcher, Michael John. Enhanced Implementations for Arbitrary-Phase Spread Spectrum Waveforms.

Degree: MS, Electrical Engineering, 2019, Virginia Tech

 The use of practically non-repeating spreading codes to generate sequence-based spread spectrum waveforms is a strong method to improve transmission security, by limiting an observers… (more)

Subjects/Keywords: Spread Spectrum; Arbitrary-Phase; Chaotic Communications; Implementation

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APA (6th Edition):

Fletcher, M. J. (2019). Enhanced Implementations for Arbitrary-Phase Spread Spectrum Waveforms. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90286

Chicago Manual of Style (16th Edition):

Fletcher, Michael John. “Enhanced Implementations for Arbitrary-Phase Spread Spectrum Waveforms.” 2019. Masters Thesis, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/90286.

MLA Handbook (7th Edition):

Fletcher, Michael John. “Enhanced Implementations for Arbitrary-Phase Spread Spectrum Waveforms.” 2019. Web. 17 Sep 2019.

Vancouver:

Fletcher MJ. Enhanced Implementations for Arbitrary-Phase Spread Spectrum Waveforms. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/90286.

Council of Science Editors:

Fletcher MJ. Enhanced Implementations for Arbitrary-Phase Spread Spectrum Waveforms. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90286

8. Inti, Durga Laxmi Narayana Swamy. Time-Varying Frequency Selective IQ Imbalance Estimation and Compensation.

Degree: MS, Electrical and Computer Engineering, 2017, Virginia Tech

 Direct-Down Conversion (DDC) principle based transceiver architectures are of interest to meet the diverse needs of present and future wireless systems. DDC transceivers have a… (more)

Subjects/Keywords: Direct-Down Conversion Systems; IQ Imbalance; Blind Equalization; Adaptive Filtering; Image Rejection

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APA (6th Edition):

Inti, D. L. N. S. (2017). Time-Varying Frequency Selective IQ Imbalance Estimation and Compensation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78202

Chicago Manual of Style (16th Edition):

Inti, Durga Laxmi Narayana Swamy. “Time-Varying Frequency Selective IQ Imbalance Estimation and Compensation.” 2017. Masters Thesis, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/78202.

MLA Handbook (7th Edition):

Inti, Durga Laxmi Narayana Swamy. “Time-Varying Frequency Selective IQ Imbalance Estimation and Compensation.” 2017. Web. 17 Sep 2019.

Vancouver:

Inti DLNS. Time-Varying Frequency Selective IQ Imbalance Estimation and Compensation. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/78202.

Council of Science Editors:

Inti DLNS. Time-Varying Frequency Selective IQ Imbalance Estimation and Compensation. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78202

9. Bhandari, Tapan. Comprehensive Performance Analysis of Localizability in Heterogeneous Cellular Networks.

Degree: MS, Electrical and Computer Engineering, 2017, Virginia Tech

 The availability of location estimates of mobile devices (MDs) is vital for several important applications such as law enforcement, disaster management, battlefield operations, vehicular communication,… (more)

Subjects/Keywords: Stochastic geometry; localization; localizability; cellular network; Poisson point process.

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APA (6th Edition):

Bhandari, T. (2017). Comprehensive Performance Analysis of Localizability in Heterogeneous Cellular Networks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78664

Chicago Manual of Style (16th Edition):

Bhandari, Tapan. “Comprehensive Performance Analysis of Localizability in Heterogeneous Cellular Networks.” 2017. Masters Thesis, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/78664.

MLA Handbook (7th Edition):

Bhandari, Tapan. “Comprehensive Performance Analysis of Localizability in Heterogeneous Cellular Networks.” 2017. Web. 17 Sep 2019.

Vancouver:

Bhandari T. Comprehensive Performance Analysis of Localizability in Heterogeneous Cellular Networks. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/78664.

Council of Science Editors:

Bhandari T. Comprehensive Performance Analysis of Localizability in Heterogeneous Cellular Networks. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78664

10. Dsouza, Jennifer. Analysis of RF Front-End Non-linearity on Symbol Error Rate in the Presence of M-PSK Blocking Signals.

Degree: MS, Electrical and Computer Engineering, 2017, Virginia Tech

 Radio frequency (RF) receivers are inherently non-linear due to non-linear components contained within the RF front-end such as the low noise amplifier (LNA) and mixer.… (more)

Subjects/Keywords: Symbol error rate; Non-linearity; M-PSK; Blockers; Phase-synchronous; Phase-unsynchronous; RF Front-End

Virginia Tech researchers have previously shown the adverse impact of RF front-end non-linearity… 

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APA (6th Edition):

Dsouza, J. (2017). Analysis of RF Front-End Non-linearity on Symbol Error Rate in the Presence of M-PSK Blocking Signals. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/79489

Chicago Manual of Style (16th Edition):

Dsouza, Jennifer. “Analysis of RF Front-End Non-linearity on Symbol Error Rate in the Presence of M-PSK Blocking Signals.” 2017. Masters Thesis, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/79489.

MLA Handbook (7th Edition):

Dsouza, Jennifer. “Analysis of RF Front-End Non-linearity on Symbol Error Rate in the Presence of M-PSK Blocking Signals.” 2017. Web. 17 Sep 2019.

Vancouver:

Dsouza J. Analysis of RF Front-End Non-linearity on Symbol Error Rate in the Presence of M-PSK Blocking Signals. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/79489.

Council of Science Editors:

Dsouza J. Analysis of RF Front-End Non-linearity on Symbol Error Rate in the Presence of M-PSK Blocking Signals. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/79489

11. Teague, Kory Alan. Approaches to Joint Base Station Selection and Adaptive Slicing in Virtualized Wireless Networks.

Degree: MS, Electrical Engineering, 2018, Virginia Tech

 Wireless network virtualization is a promising avenue of research for next-generation 5G cellular networks. This work investigates the problem of selecting base stations to construct… (more)

Subjects/Keywords: Wireless Network Virtualization; Resource Allocation; Two-Stage Stochastic Optimization; Genetic Algorithm

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APA (6th Edition):

Teague, K. A. (2018). Approaches to Joint Base Station Selection and Adaptive Slicing in Virtualized Wireless Networks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/85966

Chicago Manual of Style (16th Edition):

Teague, Kory Alan. “Approaches to Joint Base Station Selection and Adaptive Slicing in Virtualized Wireless Networks.” 2018. Masters Thesis, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/85966.

MLA Handbook (7th Edition):

Teague, Kory Alan. “Approaches to Joint Base Station Selection and Adaptive Slicing in Virtualized Wireless Networks.” 2018. Web. 17 Sep 2019.

Vancouver:

Teague KA. Approaches to Joint Base Station Selection and Adaptive Slicing in Virtualized Wireless Networks. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/85966.

Council of Science Editors:

Teague KA. Approaches to Joint Base Station Selection and Adaptive Slicing in Virtualized Wireless Networks. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/85966


Virginia Tech

12. Mortazavi, Seyed Yahya. Millimeter-Wave Harmonically-Tuned Silicon Power Amplifiers for High Efficiency.

Degree: PhD, Electrical and ComputerEngineering, 2016, Virginia Tech

 This works demonstrates the feasibility of the inverse-Class-F harmonic tuning approach for mm-wave silicon PAs. This research addresses the challenges and limitations of the high… (more)

Subjects/Keywords: Class-F; class-F-1; 5G; harmonic tuned power amplifier; inverse class F; 28 GHz; 38 GHz; Ka-band PA; SiGe PA

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APA (6th Edition):

Mortazavi, S. Y. (2016). Millimeter-Wave Harmonically-Tuned Silicon Power Amplifiers for High Efficiency. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82440

Chicago Manual of Style (16th Edition):

Mortazavi, Seyed Yahya. “Millimeter-Wave Harmonically-Tuned Silicon Power Amplifiers for High Efficiency.” 2016. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/82440.

MLA Handbook (7th Edition):

Mortazavi, Seyed Yahya. “Millimeter-Wave Harmonically-Tuned Silicon Power Amplifiers for High Efficiency.” 2016. Web. 17 Sep 2019.

Vancouver:

Mortazavi SY. Millimeter-Wave Harmonically-Tuned Silicon Power Amplifiers for High Efficiency. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/82440.

Council of Science Editors:

Mortazavi SY. Millimeter-Wave Harmonically-Tuned Silicon Power Amplifiers for High Efficiency. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/82440


Virginia Tech

13. Straub, Kayla Marie. Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure.

Degree: MS, Electrical and Computer Engineering, 2016, Virginia Tech

 Email correspondence has become the predominant method of communication for businesses. If not for the inherent privacy concerns, this electronically searchable data could be used… (more)

Subjects/Keywords: Data analytics; machine learning; social computing

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APA (6th Edition):

Straub, K. M. (2016). Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71320

Chicago Manual of Style (16th Edition):

Straub, Kayla Marie. “Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure.” 2016. Masters Thesis, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/71320.

MLA Handbook (7th Edition):

Straub, Kayla Marie. “Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure.” 2016. Web. 17 Sep 2019.

Vancouver:

Straub KM. Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/71320.

Council of Science Editors:

Straub KM. Data Mining Academic Emails to Model Employee Behaviors and Analyze Organizational Structure. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71320


Virginia Tech

14. Garlapati, Shravan Kumar Reddy. Enabling Communication and Networking Technologies for Smart Grid.

Degree: PhD, Electrical and Computer Engineering, 2014, Virginia Tech

 Transforming the aging electric grid to a smart grid is an active area of research in industry and the government. One of the main objectives… (more)

Subjects/Keywords: Distance Relays; Hidden Failures; Blackouts; Agents; DFS; IEEE C37.118; Multiple Facility Location; AMI; Spread Spectrum; Markov Chain Analysis; Backward Recursive Dynamic Programming

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APA (6th Edition):

Garlapati, S. K. R. (2014). Enabling Communication and Networking Technologies for Smart Grid. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/56629

Chicago Manual of Style (16th Edition):

Garlapati, Shravan Kumar Reddy. “Enabling Communication and Networking Technologies for Smart Grid.” 2014. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/56629.

MLA Handbook (7th Edition):

Garlapati, Shravan Kumar Reddy. “Enabling Communication and Networking Technologies for Smart Grid.” 2014. Web. 17 Sep 2019.

Vancouver:

Garlapati SKR. Enabling Communication and Networking Technologies for Smart Grid. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/56629.

Council of Science Editors:

Garlapati SKR. Enabling Communication and Networking Technologies for Smart Grid. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/56629


Virginia Tech

15. Yamada, Randy Matthew. New Method for Directional Modulation Using Beamforming: Applications to Simultaneous Wireless Information and Power Transfer and Increased Secrecy Capacity.

Degree: PhD, Electrical Engineering, 2017, Virginia Tech

 The proliferation of connected embedded devices has driven wireless communications into commercial, military, industrial, and personal systems. It is unreasonable to expect privacy and security… (more)

Subjects/Keywords: Directional Modulation; Physical Layer Security; Beamforming; Array; Broadcast Channel; Secrecy

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APA (6th Edition):

Yamada, R. M. (2017). New Method for Directional Modulation Using Beamforming: Applications to Simultaneous Wireless Information and Power Transfer and Increased Secrecy Capacity. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/88956

Chicago Manual of Style (16th Edition):

Yamada, Randy Matthew. “New Method for Directional Modulation Using Beamforming: Applications to Simultaneous Wireless Information and Power Transfer and Increased Secrecy Capacity.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/88956.

MLA Handbook (7th Edition):

Yamada, Randy Matthew. “New Method for Directional Modulation Using Beamforming: Applications to Simultaneous Wireless Information and Power Transfer and Increased Secrecy Capacity.” 2017. Web. 17 Sep 2019.

Vancouver:

Yamada RM. New Method for Directional Modulation Using Beamforming: Applications to Simultaneous Wireless Information and Power Transfer and Increased Secrecy Capacity. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/88956.

Council of Science Editors:

Yamada RM. New Method for Directional Modulation Using Beamforming: Applications to Simultaneous Wireless Information and Power Transfer and Increased Secrecy Capacity. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/88956


Virginia Tech

16. Tillman, Richard Henry. Absolute Flux Density Measurement and Associated Instrumentation for Radio Astronomy below 100 MHz.

Degree: PhD, Electrical and Computer Engineering, 2016, Virginia Tech

 This dissertation reports new measurements of the absolute flux densities of the brightest astrophysical sources visible from the northern hemisphere with O[10%] accuracy between 30-78… (more)

Subjects/Keywords: Electrical Engineering; Astrophysics

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APA (6th Edition):

Tillman, R. H. (2016). Absolute Flux Density Measurement and Associated Instrumentation for Radio Astronomy below 100 MHz. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/72289

Chicago Manual of Style (16th Edition):

Tillman, Richard Henry. “Absolute Flux Density Measurement and Associated Instrumentation for Radio Astronomy below 100 MHz.” 2016. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/72289.

MLA Handbook (7th Edition):

Tillman, Richard Henry. “Absolute Flux Density Measurement and Associated Instrumentation for Radio Astronomy below 100 MHz.” 2016. Web. 17 Sep 2019.

Vancouver:

Tillman RH. Absolute Flux Density Measurement and Associated Instrumentation for Radio Astronomy below 100 MHz. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/72289.

Council of Science Editors:

Tillman RH. Absolute Flux Density Measurement and Associated Instrumentation for Radio Astronomy below 100 MHz. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/72289

17. Kim, Seungmo. Coexistence of Wireless Systems for Spectrum Sharing.

Degree: PhD, Electrical and Computer Engineering, 2017, Virginia Tech

 Sharing a band of frequencies in the radio spectrum among multiple wireless systems has emerged as a viable solution for alleviating the severe capacity crunch… (more)

Subjects/Keywords: Coexistence; Spectrum Sharing; mmW; 28 GHz; 70 GHz; 5G; Fixed Satellite Service; Fixed Service; 3.5 GHz; Pulsed Radar; OFDM; LTE; Wi-Fi; 5.9 GHz; DSRC; IEEE 802.11ac

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APA (6th Edition):

Kim, S. (2017). Coexistence of Wireless Systems for Spectrum Sharing. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78625

Chicago Manual of Style (16th Edition):

Kim, Seungmo. “Coexistence of Wireless Systems for Spectrum Sharing.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/78625.

MLA Handbook (7th Edition):

Kim, Seungmo. “Coexistence of Wireless Systems for Spectrum Sharing.” 2017. Web. 17 Sep 2019.

Vancouver:

Kim S. Coexistence of Wireless Systems for Spectrum Sharing. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/78625.

Council of Science Editors:

Kim S. Coexistence of Wireless Systems for Spectrum Sharing. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78625


Virginia Tech

18. Woolard, Americo Giuliano. Supplementing Localization Algorithms for Indoor Footsteps.

Degree: PhD, Mechanical Engineering, 2017, Virginia Tech

 The data rich nature of instrumented civil structures has brought attention to alternative applications outside of the traditional realm of structural health monitoring. An interest… (more)

Subjects/Keywords: localization; footsteps; structural health monitoring; dispersion; indoor wave propagation

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APA (6th Edition):

Woolard, A. G. (2017). Supplementing Localization Algorithms for Indoor Footsteps. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78698

Chicago Manual of Style (16th Edition):

Woolard, Americo Giuliano. “Supplementing Localization Algorithms for Indoor Footsteps.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/78698.

MLA Handbook (7th Edition):

Woolard, Americo Giuliano. “Supplementing Localization Algorithms for Indoor Footsteps.” 2017. Web. 17 Sep 2019.

Vancouver:

Woolard AG. Supplementing Localization Algorithms for Indoor Footsteps. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/78698.

Council of Science Editors:

Woolard AG. Supplementing Localization Algorithms for Indoor Footsteps. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78698


Virginia Tech

19. Nounagnon, Jeannette Donan. Using Kullback-Leibler Divergence to Analyze the Performance of Collaborative Positioning.

Degree: PhD, Electrical and ComputerEngineering, 2016, Virginia Tech

 Geolocation accuracy is a very crucial and a life-or-death factor for rescue teams. Natural disasters or man-made disasters are just a few convincing reasons why… (more)

Subjects/Keywords: Collaborative positioning; Kullback-Leibler Divergence; Position Mean Squared Error; Performance Metric; Mutual Information

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APA (6th Edition):

Nounagnon, J. D. (2016). Using Kullback-Leibler Divergence to Analyze the Performance of Collaborative Positioning. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/86593

Chicago Manual of Style (16th Edition):

Nounagnon, Jeannette Donan. “Using Kullback-Leibler Divergence to Analyze the Performance of Collaborative Positioning.” 2016. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/86593.

MLA Handbook (7th Edition):

Nounagnon, Jeannette Donan. “Using Kullback-Leibler Divergence to Analyze the Performance of Collaborative Positioning.” 2016. Web. 17 Sep 2019.

Vancouver:

Nounagnon JD. Using Kullback-Leibler Divergence to Analyze the Performance of Collaborative Positioning. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/86593.

Council of Science Editors:

Nounagnon JD. Using Kullback-Leibler Divergence to Analyze the Performance of Collaborative Positioning. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/86593


Virginia Tech

20. Flowers, Bryse Austin. Adversarial RFML: Evading Deep Learning Enabled Signal Classification.

Degree: MS, Electrical and Computer Engineering, 2019, Virginia Tech

 Deep learning has become an ubiquitous part of research in all fields, including wireless communications. Researchers have shown the ability to leverage deep neural networks… (more)

Subjects/Keywords: Adversarial Signal Processing; Cognitive Radio Security; Machine Learning; Modulation Identification; Radio Frequency Machine Learning

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APA (6th Edition):

Flowers, B. A. (2019). Adversarial RFML: Evading Deep Learning Enabled Signal Classification. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/91987

Chicago Manual of Style (16th Edition):

Flowers, Bryse Austin. “Adversarial RFML: Evading Deep Learning Enabled Signal Classification.” 2019. Masters Thesis, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/91987.

MLA Handbook (7th Edition):

Flowers, Bryse Austin. “Adversarial RFML: Evading Deep Learning Enabled Signal Classification.” 2019. Web. 17 Sep 2019.

Vancouver:

Flowers BA. Adversarial RFML: Evading Deep Learning Enabled Signal Classification. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/91987.

Council of Science Editors:

Flowers BA. Adversarial RFML: Evading Deep Learning Enabled Signal Classification. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/91987


Virginia Tech

21. Jalaian, Brian Alexander. On Programmable Control and Optimization for Multi-Hop Wireless Networks.

Degree: PhD, Electrical and ComputerEngineering, 2016, Virginia Tech

 Traditionally, achieving good performance for a multi-hop wireless network is known to be difficult. The main approach to control the operation of such a network… (more)

Subjects/Keywords: wireless network; optimization; cross-layer design; multi-hop; programmable network

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APA (6th Edition):

Jalaian, B. A. (2016). On Programmable Control and Optimization for Multi-Hop Wireless Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82841

Chicago Manual of Style (16th Edition):

Jalaian, Brian Alexander. “On Programmable Control and Optimization for Multi-Hop Wireless Networks.” 2016. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/82841.

MLA Handbook (7th Edition):

Jalaian, Brian Alexander. “On Programmable Control and Optimization for Multi-Hop Wireless Networks.” 2016. Web. 17 Sep 2019.

Vancouver:

Jalaian BA. On Programmable Control and Optimization for Multi-Hop Wireless Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/82841.

Council of Science Editors:

Jalaian BA. On Programmable Control and Optimization for Multi-Hop Wireless Networks. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/82841


Virginia Tech

22. Abdelbar, Mahi Othman Helmi Mohamed Helmi Hussein. Applications of Sensor Fusion to Classification, Localization and Mapping.

Degree: PhD, Electrical Engineering, 2018, Virginia Tech

 Sensor Fusion is an essential framework in many Engineering fields. It is a relatively new paradigm for integrating data from multiple sources to synthesize new… (more)

Subjects/Keywords: Sensor Fusion; Automatic Modulation Classification; Distributed Networks; Simultaneous Localization and Mapping; Indoor Localization; Pedestrian Dead Reckoning

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APA (6th Edition):

Abdelbar, M. O. H. M. H. H. (2018). Applications of Sensor Fusion to Classification, Localization and Mapping. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82955

Chicago Manual of Style (16th Edition):

Abdelbar, Mahi Othman Helmi Mohamed Helmi Hussein. “Applications of Sensor Fusion to Classification, Localization and Mapping.” 2018. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/82955.

MLA Handbook (7th Edition):

Abdelbar, Mahi Othman Helmi Mohamed Helmi Hussein. “Applications of Sensor Fusion to Classification, Localization and Mapping.” 2018. Web. 17 Sep 2019.

Vancouver:

Abdelbar MOHMHH. Applications of Sensor Fusion to Classification, Localization and Mapping. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/82955.

Council of Science Editors:

Abdelbar MOHMHH. Applications of Sensor Fusion to Classification, Localization and Mapping. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/82955


Virginia Tech

23. Koehn, Thaddeus E. Automatic Generation of Efficient Parallel Streaming Structures for Hardware Implementation.

Degree: PhD, Electrical and ComputerEngineering, 2016, Virginia Tech

 Digital signal processing systems demand higher computational performance and more operations per second than ever before, and this trend is not expected to end any… (more)

Subjects/Keywords: Streaming; FPGA; Hardware; Digital Signal Processing; Permutation

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APA (6th Edition):

Koehn, T. E. (2016). Automatic Generation of Efficient Parallel Streaming Structures for Hardware Implementation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83391

Chicago Manual of Style (16th Edition):

Koehn, Thaddeus E. “Automatic Generation of Efficient Parallel Streaming Structures for Hardware Implementation.” 2016. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/83391.

MLA Handbook (7th Edition):

Koehn, Thaddeus E. “Automatic Generation of Efficient Parallel Streaming Structures for Hardware Implementation.” 2016. Web. 17 Sep 2019.

Vancouver:

Koehn TE. Automatic Generation of Efficient Parallel Streaming Structures for Hardware Implementation. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/83391.

Council of Science Editors:

Koehn TE. Automatic Generation of Efficient Parallel Streaming Structures for Hardware Implementation. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/83391


Virginia Tech

24. Zeng, Huacheng. On Interference Management for Wireless Networks.

Degree: PhD, Electrical and Computer Engineering, 2015, Virginia Tech

 Interference is a fundamental problem in wireless networks. An effective solution to this problem usually calls for a cross-layer approach. Although there exist a large… (more)

Subjects/Keywords: Wireless networks; interference cancellation; interference alignment; interference neutralization; modeling and optimization; algorithm design

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APA (6th Edition):

Zeng, H. (2015). On Interference Management for Wireless Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/72265

Chicago Manual of Style (16th Edition):

Zeng, Huacheng. “On Interference Management for Wireless Networks.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/72265.

MLA Handbook (7th Edition):

Zeng, Huacheng. “On Interference Management for Wireless Networks.” 2015. Web. 17 Sep 2019.

Vancouver:

Zeng H. On Interference Management for Wireless Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/72265.

Council of Science Editors:

Zeng H. On Interference Management for Wireless Networks. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/72265


Virginia Tech

25. Tua-Martinez, Carlos Gustavo. Behavioral Model and Predistortion Algorithm to Mitigate Interpulse Instabilities Induced by Gallium Nitride Power Amplifiers in Multifunction Radars.

Degree: PhD, Electrical and Computer Engineering, 2017, Virginia Tech

 The incorporation of Gallium Nitride (GaN) Power Amplifiers (PAs) into future high power aperture radar systems is certain; however, the introduction of this technology into… (more)

Subjects/Keywords: III-V semiconductors; gallium compounds; mean square error methods; power amplifiers; synthetic aperture radar; Foster network topology; GaN; GaN power amplifiers; amplitude transients; behavioral model; digital predistortion technique; gallium nitri

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APA (6th Edition):

Tua-Martinez, C. G. (2017). Behavioral Model and Predistortion Algorithm to Mitigate Interpulse Instabilities Induced by Gallium Nitride Power Amplifiers in Multifunction Radars. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/74445

Chicago Manual of Style (16th Edition):

Tua-Martinez, Carlos Gustavo. “Behavioral Model and Predistortion Algorithm to Mitigate Interpulse Instabilities Induced by Gallium Nitride Power Amplifiers in Multifunction Radars.” 2017. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/74445.

MLA Handbook (7th Edition):

Tua-Martinez, Carlos Gustavo. “Behavioral Model and Predistortion Algorithm to Mitigate Interpulse Instabilities Induced by Gallium Nitride Power Amplifiers in Multifunction Radars.” 2017. Web. 17 Sep 2019.

Vancouver:

Tua-Martinez CG. Behavioral Model and Predistortion Algorithm to Mitigate Interpulse Instabilities Induced by Gallium Nitride Power Amplifiers in Multifunction Radars. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/74445.

Council of Science Editors:

Tua-Martinez CG. Behavioral Model and Predistortion Algorithm to Mitigate Interpulse Instabilities Induced by Gallium Nitride Power Amplifiers in Multifunction Radars. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/74445


Virginia Tech

26. Headley, William C. Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments.

Degree: PhD, Electrical and Computer Engineering, 2015, Virginia Tech

 The task of spectrum sensing, defined here to consist of signal detection, signal parameter estimation, and signal identification, is a critically important task in a… (more)

Subjects/Keywords: spectrum sensing; signal parameter estimation; modulation classification; collaborative sensing

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APA (6th Edition):

Headley, W. C. (2015). Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52915

Chicago Manual of Style (16th Edition):

Headley, William C. “Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments.” 2015. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/52915.

MLA Handbook (7th Edition):

Headley, William C. “Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments.” 2015. Web. 17 Sep 2019.

Vancouver:

Headley WC. Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/52915.

Council of Science Editors:

Headley WC. Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/52915

27. Uzair Gilani, Syed. Biodiversity and dynamics of direction finding accuracy in bat biosonar.

Degree: PhD, Electrical and Computer Engineering, 2016, Virginia Tech

 In the biosonar systems of bats, emitted acoustic energy and receiver sensitivity are distributed over direction and frequency through beampattern functions that have diverse and… (more)

Subjects/Keywords: Biodiversity; dynamics; bats

…number of pages: 104 estimated publication date: 03/20/2016 distribution: Virginia Tech Please… …20/2016 distribution: Virginia Tech Please respond directly to the person making the… 

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APA (6th Edition):

Uzair Gilani, S. (2016). Biodiversity and dynamics of direction finding accuracy in bat biosonar. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/65005

Chicago Manual of Style (16th Edition):

Uzair Gilani, Syed. “Biodiversity and dynamics of direction finding accuracy in bat biosonar.” 2016. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/65005.

MLA Handbook (7th Edition):

Uzair Gilani, Syed. “Biodiversity and dynamics of direction finding accuracy in bat biosonar.” 2016. Web. 17 Sep 2019.

Vancouver:

Uzair Gilani S. Biodiversity and dynamics of direction finding accuracy in bat biosonar. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/65005.

Council of Science Editors:

Uzair Gilani S. Biodiversity and dynamics of direction finding accuracy in bat biosonar. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/65005

28. Carrick, Matthew David. Cyclostationary Methods for Communication and Signal Detection Under Interference.

Degree: PhD, Electrical Engineering, 2018, Virginia Tech

 In this dissertation novel methods are proposed for communicating in interference limited environments as well as detecting such interference. The methods include introducing redundancies into… (more)

Subjects/Keywords: digital signal processing; multicarrier communications; adaptive filtering; cyclostationary; cyclostationarity; interference mitigation; interference rejection

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APA (6th Edition):

Carrick, M. D. (2018). Cyclostationary Methods for Communication and Signal Detection Under Interference. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/85126

Chicago Manual of Style (16th Edition):

Carrick, Matthew David. “Cyclostationary Methods for Communication and Signal Detection Under Interference.” 2018. Doctoral Dissertation, Virginia Tech. Accessed September 17, 2019. http://hdl.handle.net/10919/85126.

MLA Handbook (7th Edition):

Carrick, Matthew David. “Cyclostationary Methods for Communication and Signal Detection Under Interference.” 2018. Web. 17 Sep 2019.

Vancouver:

Carrick MD. Cyclostationary Methods for Communication and Signal Detection Under Interference. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2019 Sep 17]. Available from: http://hdl.handle.net/10919/85126.

Council of Science Editors:

Carrick MD. Cyclostationary Methods for Communication and Signal Detection Under Interference. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/85126

.