Results 131 to 140 of about 16,794 (295)
Sigma Point Belief Propagation
The sigma point (SP) filter, also known as unscented Kalman filter, is an attractive alternative to the extended Kalman filter and the particle filter. Here, we extend the SP filter to nonsequential Bayesian inference corresponding to loopy factor graphs.
Hlinka, Ondrej +2 more
core
A hardware architecture is presented to decode (N, K) polar codes based on a low-density parity-check code-like decoding method. By applying suitable pruning techniques to the dense graph of the polar code, the decoder architectures are optimized using ...
Dinesh Kumar Devadoss +1 more
doaj +1 more source
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho +3 more
wiley +1 more source
Turbo decoding of product codes using adaptive belief propagation
International audienceThe Adaptive Belief Propagation (ABP) algorithm was recently proposed by Jiang and Narayanan for the soft decoding of Reed-Solomon (RS) codes.
Jego, Christophe +3 more
core +1 more source
n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis +19 more
wiley +1 more source
Idea Propagation in Social Networks: The Role of ‘Cognitive Advantage’
Existing models of information transmission emphasize the role that structural factors play in the network-mediated spread of new ideas. Such models, however, often fail to account for the potentially significant role of psychological and cognitive ...
Smart, Paul +3 more
core
Belief Propagation (BP) applied to cyclic problems is a well known approximate inference scheme for probabilistic graphical models. To improve its accuracy, Conditioned Belief Propagation (CBP) has been proposed, which splits a problem into subproblems ...
Thomas Geier +2 more
core
Iterative Soft-Decision Decoding of Binary Cyclic Codes
Binary cyclic codes achieve good error correction performance and allow the implementation of very simpleencoder and decoder circuits. Among them, BCH codesrepresent a very important class of t-error correcting codes, with known structural properties and
Marco Baldi +2 more
doaj
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Belief Propagation, Dykstra’s Algorithm, and Iterated Information Projections
Belief propagation is shown to be an instance of a hybrid between two projection algorithms in the convex programming literature: Dykstra’s algorithm with cyclic Bregman projections, and an alternating Bregman projections algorithm.
Walsh, John Mac Laren +3 more
core +1 more source

