← 返回 JSSC 论文列表JSSC 2019第10期Digital Circuits40nmBiosignal
A 126 mW 573-2901 kSs Reconfigurable Processor for Reconstruction of Compressivel
基于ADMM算法的可重构处理器，用于压缩感知生理信号重建，功耗低至12.6mW。
40nm CMOS, 0.60V, 573-2901 kSamples/s, 12.6mW
可重构处理器ADMM算法压缩感知生理信号低功耗
▸16×折叠架构减少64%面积功耗积
▸定制化缓冲器减少4倍数据延迟
▸利用数据特性降低99%硬件复杂度
Abstract
This article presents a reconfigurable processor
based on the alternating direction method of multipliers (ADMM)
algorithm for reconstructing compressively sensed physiological
signals. The architecture is flexible to support physiological ExG
[electrocardiography (ECG), electromyography (EMG), and elec-
troencephalography (EEG)] signal with various signal dimensions
(128, 256, 384, and 512). Data cha racteristics are utilized to
substantially reduce the overall hardware complexity by up to
99%. A