Yury Polyanskiy *11 together with Profs. Sergio Verdu and H. Vincent Poor have won the 2011 IEEE Information Theory Paper Award for their paper “Channel Coding Rate in the Finite Blocklength Regime,” IEEE Trans. Information Theory, vol. 56, no. 5, pp. 2307–2359, May 2010. The purpose of the Information Theory Paper Award
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Yihong Wu is one of three students worldwide to be honored by the prestigious Marconi Society. He was selected a Marconi Young Scholar for work including his focus on how to maximize compressed sensing by minimizing noise and waste in transmissions. As the leading organization devoted to recognizing and encouraging scientific contributions to communication sciences and the Internet, the Marconi Society annually honors young scholars who already are engaged in influential work and are likely to t
EE grad student Yihong Wu is the recipient of the Wallace Memorial Fellowship; a Honorific Fellowship founded in 1930 by Bonnie Wallace LeClear and awarded by the Graduate School. This award is conferred annually upon the students who, in the judgment of the University faculty, display the highest scholarly excellence. Wu’s research area includes information theory, signal processing, mathematical statistics, approximation theory, optimization and distributed algorithms and his advisor is Pro
Compressed sensing has recently emerged as an approach to lossless encoding of analog sources by real numbers rather than bits, dealing with efficient recovery of a sparse real vector from the information provided by linear measurements. As an analog compression paradigm, compressed sensing imposes two basic requirements: the linearity of the encoder and the robustness of the decoder; the rationale is that low complexity of encoding operations and noise resilience of decoding operations are
