An Area- and Power-Efficient Stochastic Number Generator for Bayesian Sensor Fusion Circuits

Jeremy Belot,Abdelkarim Cherkaoui,Raphael Laurent,Laurent Fesquet

IEEE Design & Test（2021）

引用 3|浏览0

暂无评分

摘要

Editor’s note: This article introduces a new stochastic number generator module with low autocorrelation properties. This module is systematically compared with earlier proposals regarding its implementation cost, its theoretical properties, and its performance in a specific application: Bayesian sensor fusion. —Ilia Polian, University of Stuttgart

查看译文

关键词

Stochastic processes,Computer architecture,Power demand,Bayes methods,Sensor fusion,Isolators,Hardware

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要