Factorizing low-rank matrices has many applications in machine learning and statistics. For
probabilistic models in the Bayes optimal setting, a general expression for the mutual …

Unsourced random-access (U-RA) is a type of grant-free random access with a virtually
unlimited number of users, of which only a certain number K a are active on the same time …

Channel coding plays a pivotal role in ensuring reliable communication over wireless
channels. With the growing need for ultra-reliable communication in emerging wireless use …

In this paper, we introduce the concept of spatially coupled turbo-like codes (SC-TCs) as the
spatial coupling of a number of turbo-like code ensembles. In particular, we consider the …

Error correction coding (ie, channel coding) is a key ingredient of any digital
communications system. In mobile wireless communications, channel codes have evolved …

Iterative decoding of graph-based codes and sparse recovery through approximate
message passing (AMP) are two research areas that have seen monumental progress in …

Sparse superposition codes, also referred to as sparse regression codes (SPARCs), are a
class of codes for efficient communication over the AWGN channel at rates approaching the …

Developing computationally-efficient codes that approach the Shannon-theoretic limits for
communication and compression has long been one of the major goals of information and …

A variety of low-density parity-check (LDPC) ensembles have now been observed to
approach capacity with message-passing decoding. However, all of them use soft (ie, non …

Recently, a new class of codes, called sparse superposition or sparse regression codes, has
been proposed for communication over the AWGN channel. It has been proven that they …