Dissertation Defense Schedule
Academic Excellence
Sharing original dissertation research is a principle to which the University of Delaware is deeply committed. It is the single most important assignment our graduate students undertake and upon completion is met with great pride.
We invite you to celebrate this milestone by attending their dissertation defense. Please review the upcoming dissertation defense schedule below and join us!
PROGRAM | Electrical and Computer Engineering
Analog Joint Source-Channel Coding for Non-Standard Scenarios
By: Bo Lu Chair: Javier Garcia-Frias
ABSTRACT
Recently, analog joint source-channel coding (JSCC) schemes based on mappings have become one of the most promising techniques for the transmission of discrete-time, continuous-amplitude sources (e.g., audio and video samples) over time-varying channels (e.g. wireless channels) under complexity and delay constraints. In contrast to traditional digital communication systems based on Shannon’s separation principle, analog JSCC schemes do not require near infinite block lengths to approach the theoretical limits. As a result, the encoding/decoding complexity and delay can be greatly reduced compared with digital schemes. Analog JSCC systems are also much more robust than standard digital schemes to variations in the channel conditions.
Direct source-channel mappings take K discrete-time, continuous-amplitude symbols (a K dimensional vector in the source space) and map them directly into L discrete-time, continuous-amplitude channel symbols (an L dimensional vector in the channel space), achieving either bandwidth reduction (K>L) or bandwidth expansion (K<L). Most of the work on these schemes has dealt with the transmission of memoryless sources over noisy channels for point-to-point communications. In this dissertation, we focus on distributed scenarios and non-i.i.d. sources. Specifically, we first study the problem of transmitting multivariate correlated Gaussian samples over AWGN channels. Second, we work on the design of direct source-channel mappings using space-filling curves for transmitting memoryless Gaussian samples over AWGN channels when side information is available at the receiver, and extend this approach for the transmission of correlated Gaussian sources from different senders over separated AWGN channels. Finally, we focus on multiple access channel (MAC) scenarios, and develop systems that utilize source-channel mappings optimized for point-to-point communications followed by a CDMA-like access scheme which converts the MAC into several orthogonal channels.
The Process
Step-by-Step
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Dissertation Manual
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Defense Submission Form
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