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You searched for +publisher:"Texas A&M University" +contributor:("Zhang, Xi"). Showing records 1 – 11 of 11 total matches.

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Texas A&M University

1. Li, Jiahao. Adaptive RTT-driven Transport-layer Flow and Error Control Protocol for QoS Guaranteed Image Transmission over Multi-hop Underwater Wireless Networks: Design, Implementation, and Analysis.

Degree: MS, Computer Engineering, 2013, Texas A&M University

 With the rapid advances in data transmission over various advanced underwater acoustic networks, it is important to develop the efficient protocol to obtain a high… (more)

Subjects/Keywords: Underwater wireless networks; multi-hop; quality of service; packet loss rate; end-to-end throughput; congestion window size control

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APA (6th Edition):

Li, J. (2013). Adaptive RTT-driven Transport-layer Flow and Error Control Protocol for QoS Guaranteed Image Transmission over Multi-hop Underwater Wireless Networks: Design, Implementation, and Analysis. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151662

Chicago Manual of Style (16th Edition):

Li, Jiahao. “Adaptive RTT-driven Transport-layer Flow and Error Control Protocol for QoS Guaranteed Image Transmission over Multi-hop Underwater Wireless Networks: Design, Implementation, and Analysis.” 2013. Masters Thesis, Texas A&M University. Accessed January 22, 2021. http://hdl.handle.net/1969.1/151662.

MLA Handbook (7th Edition):

Li, Jiahao. “Adaptive RTT-driven Transport-layer Flow and Error Control Protocol for QoS Guaranteed Image Transmission over Multi-hop Underwater Wireless Networks: Design, Implementation, and Analysis.” 2013. Web. 22 Jan 2021.

Vancouver:

Li J. Adaptive RTT-driven Transport-layer Flow and Error Control Protocol for QoS Guaranteed Image Transmission over Multi-hop Underwater Wireless Networks: Design, Implementation, and Analysis. [Internet] [Masters thesis]. Texas A&M University; 2013. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1969.1/151662.

Council of Science Editors:

Li J. Adaptive RTT-driven Transport-layer Flow and Error Control Protocol for QoS Guaranteed Image Transmission over Multi-hop Underwater Wireless Networks: Design, Implementation, and Analysis. [Masters Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151662


Texas A&M University

2. Dong, Jiawei. Output Feedback Control and Optimal Bandwidth Allocation of Networked Control Systems.

Degree: PhD, Mechanical Engineering, 2013, Texas A&M University

 A networked control system (NCS) is a control system where sensors, actuators, and controllers are interconnected over a communication network. This dissertation presents a framework… (more)

Subjects/Keywords: Networked control systems; Output feedback control; Optimal bandwidth allocation

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APA (6th Edition):

Dong, J. (2013). Output Feedback Control and Optimal Bandwidth Allocation of Networked Control Systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149367

Chicago Manual of Style (16th Edition):

Dong, Jiawei. “Output Feedback Control and Optimal Bandwidth Allocation of Networked Control Systems.” 2013. Doctoral Dissertation, Texas A&M University. Accessed January 22, 2021. http://hdl.handle.net/1969.1/149367.

MLA Handbook (7th Edition):

Dong, Jiawei. “Output Feedback Control and Optimal Bandwidth Allocation of Networked Control Systems.” 2013. Web. 22 Jan 2021.

Vancouver:

Dong J. Output Feedback Control and Optimal Bandwidth Allocation of Networked Control Systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1969.1/149367.

Council of Science Editors:

Dong J. Output Feedback Control and Optimal Bandwidth Allocation of Networked Control Systems. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149367


Texas A&M University

3. Su, Hang. Design and Analysis of Opportunistic MAC Protocols for Cognitive Radio Wireless Networks.

Degree: PhD, Computer Engineering, 2012, Texas A&M University

 As more and more wireless applications/services emerge in the market, the already heavily crowded radio spectrum becomes much scarcer. Meanwhile, however,as it is reported in… (more)

Subjects/Keywords: Cognitive radio; multi-channel MAC; dynamic spectrum access; cross-layer design; M/G^Y/1 queuing theory; QoS provisionings; cooperative spectrum sensing; channel hopping; decision process; rate adaption; opportunistic scheduling

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APA (6th Edition):

Su, H. (2012). Design and Analysis of Opportunistic MAC Protocols for Cognitive Radio Wireless Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8943

Chicago Manual of Style (16th Edition):

Su, Hang. “Design and Analysis of Opportunistic MAC Protocols for Cognitive Radio Wireless Networks.” 2012. Doctoral Dissertation, Texas A&M University. Accessed January 22, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8943.

MLA Handbook (7th Edition):

Su, Hang. “Design and Analysis of Opportunistic MAC Protocols for Cognitive Radio Wireless Networks.” 2012. Web. 22 Jan 2021.

Vancouver:

Su H. Design and Analysis of Opportunistic MAC Protocols for Cognitive Radio Wireless Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8943.

Council of Science Editors:

Su H. Design and Analysis of Opportunistic MAC Protocols for Cognitive Radio Wireless Networks. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8943

4. Wang, Xu. Contributions to Resource Allocation in Cognitive Radio Networks.

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

 The continuous increase in the number of wireless devices and the huge demand for higher data rates have promoted the development of new wireless communications… (more)

Subjects/Keywords: Cognitive radio; resource allocation; spectrum sensing; convex optimization; monotonic optimization

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APA (6th Edition):

Wang, X. (2017). Contributions to Resource Allocation in Cognitive Radio Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/165774

Chicago Manual of Style (16th Edition):

Wang, Xu. “Contributions to Resource Allocation in Cognitive Radio Networks.” 2017. Doctoral Dissertation, Texas A&M University. Accessed January 22, 2021. http://hdl.handle.net/1969.1/165774.

MLA Handbook (7th Edition):

Wang, Xu. “Contributions to Resource Allocation in Cognitive Radio Networks.” 2017. Web. 22 Jan 2021.

Vancouver:

Wang X. Contributions to Resource Allocation in Cognitive Radio Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1969.1/165774.

Council of Science Editors:

Wang X. Contributions to Resource Allocation in Cognitive Radio Networks. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/165774

5. Du, Qinghe. Adaptive Resource Allocation for Statistical QoS Provisioning in Mobile Wireless Communications and Networks.

Degree: PhD, Computer Engineering, 2012, Texas A&M University

 Due to the highly-varying wireless channels over time, frequency, and space domains, statistical QoS provisioning, instead of deterministic QoS guarantees, has become a recognized feature… (more)

Subjects/Keywords: Mobile multicast; wireless networks; quality-of-service (QoS); rate adaptation; layered video coding; adaptive hybrid automatic repeat request-forward error correction (ARQ-FEC); error control; low-complexity erasure codes; statistical QoS guarantees; multiuser communications; resource allocation; effective capacity; cellular networks; optimization; power and rate control; cognitive radio networks; energy detection; spectrum sensing; wireless fading channels; multiple-input-multiple-output (MIMO); distributed MIMO

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APA (6th Edition):

Du, Q. (2012). Adaptive Resource Allocation for Statistical QoS Provisioning in Mobile Wireless Communications and Networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8884

Chicago Manual of Style (16th Edition):

Du, Qinghe. “Adaptive Resource Allocation for Statistical QoS Provisioning in Mobile Wireless Communications and Networks.” 2012. Doctoral Dissertation, Texas A&M University. Accessed January 22, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8884.

MLA Handbook (7th Edition):

Du, Qinghe. “Adaptive Resource Allocation for Statistical QoS Provisioning in Mobile Wireless Communications and Networks.” 2012. Web. 22 Jan 2021.

Vancouver:

Du Q. Adaptive Resource Allocation for Statistical QoS Provisioning in Mobile Wireless Communications and Networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8884.

Council of Science Editors:

Du Q. Adaptive Resource Allocation for Statistical QoS Provisioning in Mobile Wireless Communications and Networks. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8884


Texas A&M University

6. Peng, Dongming. Exploiting parallelism within multidimensional multirate digital signal processing systems.

Degree: PhD, Computer Engineering, 2004, Texas A&M University

 The intense requirements for high processing rates of multidimensional Digital Signal Processing systems in practical applications justify the Application Specific Integrated Circuits designs and parallel… (more)

Subjects/Keywords: multirate signal processing; multidmensional signal processing; parallelism

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APA (6th Edition):

Peng, D. (2004). Exploiting parallelism within multidimensional multirate digital signal processing systems. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/141

Chicago Manual of Style (16th Edition):

Peng, Dongming. “Exploiting parallelism within multidimensional multirate digital signal processing systems.” 2004. Doctoral Dissertation, Texas A&M University. Accessed January 22, 2021. http://hdl.handle.net/1969.1/141.

MLA Handbook (7th Edition):

Peng, Dongming. “Exploiting parallelism within multidimensional multirate digital signal processing systems.” 2004. Web. 22 Jan 2021.

Vancouver:

Peng D. Exploiting parallelism within multidimensional multirate digital signal processing systems. [Internet] [Doctoral dissertation]. Texas A&M University; 2004. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1969.1/141.

Council of Science Editors:

Peng D. Exploiting parallelism within multidimensional multirate digital signal processing systems. [Doctoral Dissertation]. Texas A&M University; 2004. Available from: http://hdl.handle.net/1969.1/141


Texas A&M University

7. Selvarathinam, Anand Manivannan. High throughput low power decoder architectures for low density parity check codes.

Degree: PhD, Computer Engineering (CPEN), 2005, Texas A&M University

 A high throughput scalable decoder architecture, a tiling approach to reduce the complexity of the scalable architecture, and two low power decoding schemes have been… (more)

Subjects/Keywords: LDPC; VLSI; decoder; BER; low power

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APA (6th Edition):

Selvarathinam, A. M. (2005). High throughput low power decoder architectures for low density parity check codes. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/2529

Chicago Manual of Style (16th Edition):

Selvarathinam, Anand Manivannan. “High throughput low power decoder architectures for low density parity check codes.” 2005. Doctoral Dissertation, Texas A&M University. Accessed January 22, 2021. http://hdl.handle.net/1969.1/2529.

MLA Handbook (7th Edition):

Selvarathinam, Anand Manivannan. “High throughput low power decoder architectures for low density parity check codes.” 2005. Web. 22 Jan 2021.

Vancouver:

Selvarathinam AM. High throughput low power decoder architectures for low density parity check codes. [Internet] [Doctoral dissertation]. Texas A&M University; 2005. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1969.1/2529.

Council of Science Editors:

Selvarathinam AM. High throughput low power decoder architectures for low density parity check codes. [Doctoral Dissertation]. Texas A&M University; 2005. Available from: http://hdl.handle.net/1969.1/2529


Texas A&M University

8. Shi, Kai. High-performance signal acquisition algorithms for wireless communications receivers.

Degree: PhD, Electrical Engineering, 2006, Texas A&M University

 Due to the uncertainties introduced by the propagation channel, and RF and mixed signal circuits imperfections, digital communication receivers require efficient and robust signal acquisition… (more)

Subjects/Keywords: timing and carrier recovery; narrowband interference rejection

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APA (6th Edition):

Shi, K. (2006). High-performance signal acquisition algorithms for wireless communications receivers. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/4365

Chicago Manual of Style (16th Edition):

Shi, Kai. “High-performance signal acquisition algorithms for wireless communications receivers.” 2006. Doctoral Dissertation, Texas A&M University. Accessed January 22, 2021. http://hdl.handle.net/1969.1/4365.

MLA Handbook (7th Edition):

Shi, Kai. “High-performance signal acquisition algorithms for wireless communications receivers.” 2006. Web. 22 Jan 2021.

Vancouver:

Shi K. High-performance signal acquisition algorithms for wireless communications receivers. [Internet] [Doctoral dissertation]. Texas A&M University; 2006. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1969.1/4365.

Council of Science Editors:

Shi K. High-performance signal acquisition algorithms for wireless communications receivers. [Doctoral Dissertation]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/4365


Texas A&M University

9. Zou, Le. 3D face recognition with wireless transportation.

Degree: PhD, Computer Engineering, 2009, Texas A&M University

 In this dissertation, we focus on two related parts of a 3D face recognition system with wireless transportation. In the first part, the core components… (more)

Subjects/Keywords: Face recognition; Feature extraction; Three-dimensional vision; Digital Image Processing; Image Classification; 3D model; Distributed algorithm; Graph theory; Protocols; Routing; Sensor networks; Shortest path; Topology

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APA (6th Edition):

Zou, L. (2009). 3D face recognition with wireless transportation. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1448

Chicago Manual of Style (16th Edition):

Zou, Le. “3D face recognition with wireless transportation.” 2009. Doctoral Dissertation, Texas A&M University. Accessed January 22, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-1448.

MLA Handbook (7th Edition):

Zou, Le. “3D face recognition with wireless transportation.” 2009. Web. 22 Jan 2021.

Vancouver:

Zou L. 3D face recognition with wireless transportation. [Internet] [Doctoral dissertation]. Texas A&M University; 2009. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1448.

Council of Science Editors:

Zou L. 3D face recognition with wireless transportation. [Doctoral Dissertation]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1448


Texas A&M University

10. Tang, Jia. QoS-driven adaptive resource allocation for mobile wireless communications and networks.

Degree: PhD, Computer Engineering, 2009, Texas A&M University

 Quality-of-service (QoS) guarantees will play a critically important role in future mobile wireless networks. In this dissertation, we study a set of QoS-driven resource allocation… (more)

Subjects/Keywords: quality-of-service; resource allocation; wireless communications

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APA (6th Edition):

Tang, J. (2009). QoS-driven adaptive resource allocation for mobile wireless communications and networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1050

Chicago Manual of Style (16th Edition):

Tang, Jia. “QoS-driven adaptive resource allocation for mobile wireless communications and networks.” 2009. Doctoral Dissertation, Texas A&M University. Accessed January 22, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-1050.

MLA Handbook (7th Edition):

Tang, Jia. “QoS-driven adaptive resource allocation for mobile wireless communications and networks.” 2009. Web. 22 Jan 2021.

Vancouver:

Tang J. QoS-driven adaptive resource allocation for mobile wireless communications and networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2009. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1050.

Council of Science Editors:

Tang J. QoS-driven adaptive resource allocation for mobile wireless communications and networks. [Doctoral Dissertation]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1050


Texas A&M University

11. Bhattacharya, Aninda. Flow control of real-time unicast multimedia applications in best-effort networks.

Degree: PhD, Mechanical Engineering, 2009, Texas A&M University

 One of the fastest growing segments of Internet applications are real-time mul- timedia applications, like Voice over Internet Protocol (VoIP). Real-time multimedia applications use the… (more)

Subjects/Keywords: Flow control; multimedia; unicast; best-effort networks

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APA (6th Edition):

Bhattacharya, A. (2009). Flow control of real-time unicast multimedia applications in best-effort networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1553

Chicago Manual of Style (16th Edition):

Bhattacharya, Aninda. “Flow control of real-time unicast multimedia applications in best-effort networks.” 2009. Doctoral Dissertation, Texas A&M University. Accessed January 22, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-1553.

MLA Handbook (7th Edition):

Bhattacharya, Aninda. “Flow control of real-time unicast multimedia applications in best-effort networks.” 2009. Web. 22 Jan 2021.

Vancouver:

Bhattacharya A. Flow control of real-time unicast multimedia applications in best-effort networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2009. [cited 2021 Jan 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1553.

Council of Science Editors:

Bhattacharya A. Flow control of real-time unicast multimedia applications in best-effort networks. [Doctoral Dissertation]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1553

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