As advances in integrated circuit (IC) fabrication technology reduce feature sizes to
dimensions on the order of nanometers, IC designers are facing many of the problems that …

Bayesian inference is a powerful approach for integrating independent conflicting
information for decision-making. Though an important component of robotic, biological, and …

Strassen's algorithm for matrix multiplication gains its lower arithmetic complexity at the
expense of reduced locality of reference, which makes it challenging to implement the …

This paper studies the performance of a noisy Gallager B decoder for regular LDPC codes.
We assume that the noisy decoder is subject to both transient processor errors and …

In this brief, the finite-horizon H∞ fault estimation problem is investigated for a class of
uncertain linear discrete time-varying systems with known inputs. A new H∞ performance …

This paper investigates the behavior of the Min-Sum decoder running on noisy devices. Our
aim is to evaluate the robustness of the decoder to computation noise caused by the faulty …

This paper deals with Low-Density Parity-Check decoders running on noisy hardware. This
represents an unconventional paradigm in communication theory, since it is traditionally …

Stochastic computing has been recently proposed for the hardware implementation of both
low-density parity-check (LDPC) decoders and turbo decoders, which facilitate near-optimal …

Probabilistic/stochastic computations form the backbone of autonomous systems and
classifiers. Recently, biomedical applications of probabilistic computing such as Bayesian …

Advancements in autonomous robotic systems have been impeded by the lack of a
specialized computational hardware that makes real-time decisions based on sensory …