We review the use of factor graphs for the modeling and solving of large-scale inference
problems in robotics. Factor graphs are a family of probabilistic graphical models, other …

To infer the causes of its sensations, the brain must call on a generative (predictive) model.
This necessitates passing local messages between populations of neurons to update beliefs …

A method is proposed, called channel polarization, to construct code sequences that
achieve the symmetric capacity I(W) of any given binary-input discrete memoryless channel …

Information theory and inference, often taught separately, are here united in one entertaining
textbook. These topics lie at the heart of many exciting areas of contemporary science and …

Algorithms that must deal with complicated global functions of many variables often exploit
the manner in which the given functions factor as a product of" local" functions, each of …

Orthogonal frequency division multiplexing (OFDM) has been widely adopted in modern
wireless communication systems due to its robustness against the frequency selectivity of …

Location-aware technologies will revolutionize many aspects of commercial, public service,
and military sectors, and are expected to spawn numerous unforeseen applications. A new …

Important inference problems in statistical physics, computer vision, error-correcting coding
theory, and artificial intelligence can all be reformulated as the computation of marginal …

We develop improved algorithms to construct good low-density parity-check codes that
approach the Shannon limit very closely. For rate 1/2, the best code found has a threshold …

Multiple-input multiple-output (MIMO) technology constitutes a breakthrough in the design of
wireless communications systems, and is already at the core of several wireless standards …