Many questions of fundamental interest in today's science can be formulated as inference
problems: some partial, or noisy, observations are performed over a set of variables and the …

We investigate spatially coupled code ensembles. For transmission over the binary erasure
channel, it was recently shown that spatial coupling increases the belief propagation …

In this paper, we construct protograph-based spatially coupled low-density parity-check
(LDPC) codes by coupling together a series of L disjoint, or uncoupled, LDPC code Tanner …

In the group testing problem, which goes back to the work of Dorfman (1943), we aim to
identify a small set of $ k\sim n^\theta $ infected individuals out of a population size $ n …

This paper provides an overview on the rationales in incorporating massive multiple-input
multiple-output (MIMO), non-orthogonal multiple access (NOMA), and interleave division …

We consider the estimation of a signal from the knowledge of its noisy linear random
Gaussian projections, a problem relevant in compressed sensing, sparse superposition …

Spatially-coupled low-density parity-check (LDPC) codes, which were first introduced as
LDPC convolutional codes, have been shown to exhibit excellent performance under low …

We consider the problem of signal estimation in a generalized linear model (GLM). GLMs
include many canonical problems in statistical estimation, such as linear regression, phase …

Low-density parity-check (LDPC) convolutional codes (or spatially coupled codes) were
recently shown to approach capacity on the binary erasure channel (BEC) and binary-input …

Low-density parity-check (LDPC) convolutional codes (or spatially-coupled codes) have
been shown to approach capacity on the binary erasure channel (BEC) and binary-input …