Shannon propounded a theoretical framework (collectively called information theory) that
uses mathematical tools to understand, model and analyze modern mobile wireless …

This paper considers the joint compression of a pair of correlated sources, where the
encoder is allowed to access only one of the sources. The objective is to recover both …

We study the mismatched successive refinement problem where one uses Gaussian
codebooks to compress an arbitrary memoryless source with successive minimum …

We revisit the high-dimensional content identification with lossy recovery problem (Tuncel
and Gündüz, 2014) and establish an exponential strong converse theorem. As a corollary of …

This paper studies a joint data and semantics lossy compression problem in the finite
blocklength regime, where the data and semantic sources are correlated, and only the data …

This paper studies the second-order achievabilities of indirect quadratic lossy source coding
for a specific class of source models, where the term" quadratic" denotes that the …

In this paper, we revisit the lossy source coding problem with side information available at
the encoder and one of the two decoders, which we term as the Kaspi problem (Kaspi …

In this paper, we revisit the multiple description coding problem with one semi-deterministic
distortion measure, which we term as the Fu-Yeung problem (Fu and Yeung, 2002). We …

This thesis concerns three contemporary aspects of various multiterminal source coding
problems—refined asymptotics, mismatch and streaming. The study of refined asymptotics …