神经形态工程学
现场可编程模拟阵列
可重构性
模拟乘法器
记忆电阻器
模拟信号处理
模拟滤波器
模拟电子学
模拟图像处理
模拟计算机
计算机科学
模拟信号
信号处理
CMOS芯片
电子工程
乘数(经济学)
现场可编程门阵列
计算机体系结构
模拟设备
电子线路
计算机硬件
数字信号处理
电气工程
带宽(计算)
人工神经网络
工程类
人工智能
电信
数字滤波器
图像处理
图像(数学)
宏观经济学
经济
二值图像
作者
Y. Li,Wenhao Song,Zhenlin Wang,Hao Jiang,Peng Yan,Peng Lin,Can Li,Mingyi Rao,Mark Barnell,Qing Wu,S Ganguli,A K Roy,Qiangfei Xia,Jun Yang
标识
DOI:10.1002/adma.202206648
摘要
The increasing interests in analog computing nowadays call for multipurpose analog computing platforms with reconfigurability. The advancement of analog computing, enabled by novel electronic elements like memristors, has shown its potential to sustain the exponential growth of computing demand in the new era of analog data deluge. Here, a platform of a memristive field-programmable analog array (memFPAA) is experimentally demonstrated with memristive devices serving as a variety of core analog elements and CMOS components as peripheral circuits. The memFPAA is reconfigured to implement a first-order band pass filter, an audio equalizer, and an acoustic mixed frequency classifier, as application examples. The memFPAA, featured with programmable analog memristors, memristive routing networks, and memristive vector-matrix multipliers, opens opportunities for fast prototyping analog designs as well as efficient analog applications in signal processing and neuromorphic computing.
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