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Found 6 papers, 0 papers with code
Calibrating Control-Bounded ADCs
The paper considers the calibration of control-bounded analog-to-digital converters.
Half-Space and Box Constraints as NUV Priors: First Results
NUV representations of sparsifying priors have long been known, and NUV representations of binary (and M-level) priors have been proposed very recently.
A Binarizing NUV Prior and its Use for M-Level Control and Digital-to-Analog Conversion
Priors with a NUV representation (normal with unknown variance) have mostly been used for sparsity.
Binary Control and Digital-to-Analog Conversion Using Composite NUV Priors and Iterative Gaussian Message Passing
The paper proposes a new method to determine a binary control signal for an analog linear system such that the state, or some output, of the system follows a given target trajectory.
Online Memorization of Random Firing Sequences by a Recurrent Neural Network
This paper studies the capability of a recurrent neural network model to memorize random dynamical firing patterns by a simple local learning rule.
Factor Graphs for Quantum Probabilities
A factor-graph representation of quantum-mechanical probabilities (involving any number of measurements) is proposed.
