Unifying information theory and digital communication through the language of lattice codes,
this book provides a detailed overview for students, researchers and industry practitioners. It …

We determine the rate region of the quadratic Gaussian two-encoder source-coding
problem. This rate region is achieved by a simple architecture that separates the analog and …

We study a hypothesis testing problem in which data are compressed distributively and sent
to a detector that seeks to decide between two possible distributions for the data. The aim is …

Consider a pair of correlated Gaussian sources (X 1, X 2). Two separate encoders observe
the two components and communicate compressed versions of their observations to a …

We show that the lower bound on the sum rate of the direct and indirect Gaussian
multiterminal source coding problems can be derived in a unified manner by exploiting the …

The problem of secure multiterminal source coding with side information at the
eavesdropper is investigated. This scenario consists of a main encoder (referred to as Alice) …

We describe a scheme for rate-distortion with distributed encoding in which the sources to
be compressed contain a common component. We show that this scheme is optimal in some …

In this monograph, we develop a mathematical framework based on asymptotically good
random structured codes, ie, codes possessing algebraic properties, for network information …

Random coding arguments are the backbone of most channel capacity achievability proofs.
In this paper, we show that in their standard form, such arguments are insufficient for proving …

The distributed remote source coding (the so-called CEO) problem is studied in the case
where the underlying source, not necessarily Gaussian, has finite differential entropy and …