2011 Poster Sessions : Shannon Meets Nyquist: Capacity Limits of Sampled Analog Channels

Student Name : Yuxin Chen
Advisor : Andrea Goldsmith
Research Areas: Information Systems
Abstract:
The capacity of waveform channels has largely been studied in digital domain, under the premise that sampling, if done above Nyquist rate associated with the channel bandwidth, preserves information integrity. However, practical hardware constraints usually preclude sampling at this rate. This motivates our problems of interests in the intersection of information theory and sampling theory: how is channel capacity affected by sub-Nyquist sampling rate; what is the optimal sub-sampling mechanism to optimize data rate. We are aimed at providing preliminary answers to the fundamental tradeoffs between data rate and sampling rate.

Bio:
Yuxin Chen is a graduate student in the Department of Electrical Engineering at Stanford University. His degrees include a B.S. in Electronic Engineering with high distinction from Tsinghua University in 2008, and an M.S. in Electrical and Computer Engineering from University of Texas at Austin. His current interests are wireless networks, compressed sensing and sampling theory.