Jan 11, 2021 · Abstract: Editor's note: This article introduces a new stochastic number generator module with low autocorrelation properties.

May 9, 2022 · In this paper, we consider a Bayesian sensor fusion prob- lem implemented in a dedicated stochastic circuit [8], for which we compare, in terms ...

We introduce a new solution of Random. Number Generator (RNG) sharing over a large amount of stochastic bit-streams, which significantly enhances the circuit.

In recent years, stochastic computing became popular in Bayesian circuits implementation because it enables compact and low power architectures.

This paper carries out the research of Youth aesthetic psychology art works with the perspective of environmental perception and sensor fusion, and combined ...

Apr 25, 2024 · An Area- and Power-Efficient Stochastic Number Generator for Bayesian Sensor Fusion Circuits. IEEE Des. Test 38(6): 69-77 (2021). [c1]. view.

Abstract. Editor's note: This article introduces a new stochastic number generator module with low autocorrelation properties. This module is systematically ...

An Area- and Power-Efficient Stochastic Number Generator for Bayesian Sensor Fusion Circuits. This article introduces a new stochastic number generator ...

[RDF data]. An Area- and Power-Efficient Stochastic Number Generator for Bayesian Sensor Fusion Circuits. Resource URI: https://dblp.l3s.de/d2r/resource ...

Hardware results show this architecture can quickly solve Bayesian sensor fusion problems and is very efficient in terms of energy consumption.