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Comparison of Source Diversity and Channel Diversity Methods on Symmetric and Fading Channels.

Description: Channel diversity techniques are effective ways to combat channel fading and noise in communication systems. In this thesis, I compare the performance of source and channel diversity techniques on fading and symmetric continuous channels. My experiments suggest that when SNR is low, channel diversity performs better, and when SNR is high, source diversity shows better performance than channel diversity.
Date: August 2009
Creator: Li, Li
Partner: UNT Libraries

Source and Channel Coding Strategies for Wireless Sensor Networks

Description: In this dissertation, I focus on source coding techniques as well as channel coding techniques. I addressed the challenges in WSN by developing (1) a new source coding strategy for erasure channels that has better distortion performance compared to MDC; (2) a new cooperative channel coding strategy for multiple access channels that has better channel outage performances compared to MIMO; (3) a new source-channel cooperation strategy to accomplish source-to-fusion center communication that reduces system distortion and improves outage performance. First, I draw a parallel between the 2x2 MDC scheme and the Alamouti's space time block coding (STBC) scheme and observe the commonality in their mathematical models. This commonality allows us to observe the duality between the two diversity techniques. Making use of this duality, I develop an MDC scheme with pairwise complex correlating transform. Theoretically, I show that MDC scheme results in: 1) complete elimination of the estimation error when only one descriptor is received; 2) greater efficiency in recovering the stronger descriptor (with larger variance) from the weaker descriptor; and 3) improved performance in terms of minimized distortion as the quantization error gets reduced. Experiments are also performed on real images to demonstrate these benefits. Second, I present a two-phase cooperative communication strategy and an optimal power allocation strategy to transmit sensor observations to a fusion center in a large-scale sensor network. Outage probability is used to evaluate the performance of the proposed system. Simulation results demonstrate that: 1) when signal-to-noise ratio is low, the performance of the proposed system is better than that of the MIMO system over uncorrelated slow fading Rayleigh channels; 2) given the transmission rate and the total transmission SNR, there exists an optimal power allocation that minimizes the outage probability; 3) on correlated slow fading Rayleigh channels, channel correlation will degrade the system performance ...
Date: December 2012
Creator: Li, Li
Partner: UNT Libraries

Energy efficiency improvements in Chinese compressed airsystems

Description: Industrial compressed air systems use more than 9 percent ofall electricity used in China. Experience in China and elsewhere hasshown that these systems can be much more energy efficient when viewed asa whole system and rather than as isolated components.This paper presentsa summary and analysis of several compressed air system assessments.Through these assessments, typical compressed air management practices inChina are analyzed. Recommendations are made concerning immediate actionsthat China s enterprises can make to improve compressed air systemefficiency using best available technology and managementstrategies.
Date: June 1, 2007
Creator: McKane, Aimee; Li, Li; Li, Yuqi & Taranto, T.
Partner: UNT Libraries Government Documents Department

Applications of Logic Flowcharting With a Focus in Autonomous Robotic Operations

Description: This report discusses research on applications of logic flowcharting with a focus in autonomous robotic operations. This research project is part of Research Experiences for Teachers (RET) in Sensor Networks, a National Science Foundation (NSF) funded grant project.
Date: 2012
Creator: Sink, Ashley Elizabeth; Gscheidle, Karl H.; Namuduri, Kamesh; Li, Li & Sterling, Phillip
Partner: UNT College of Engineering

Upscaling of Long-Term U(VI) Desorption from Pore Scale Kinetics to Field-Scale Reactive Transport Models

Description: The focus of the project is the development of scientifically defensible approaches for upscaling reactive transport models (RTM) through a detailed understanding of U(VI) desorption across several spatial scales: bench-, intermediate-, and field-scales. The central hypothesis of the project is that the development of this methodology will lead to a scientifically defensible approach for conceptual model development for multicomponent RTM at contaminated DOE sites, leading to predictive transport simulations with reduced uncertainty.
Date: June 1, 2006
Creator: Steefel, Carl I.; Li, Li; Davis, J.A.; Curtis, G.P.; Honeyman, B.D.; Kent, D.B. et al.
Partner: UNT Libraries Government Documents Department