基于片上体偏置技术的神经信号处理高通滤波器

Ming Ni, Yan Han, Hakbong Kim
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引用次数: 0

摘要

本文提出了一种用于神经信号处理的高通滤波器。采用跨导运算放大器-电容(OTA-C)滤波器结构,降低了功耗和有源面积。采用片内体偏置技术来减小由于工艺、电压和温度(PVT)变化引起的带宽偏移。该滤波器采用40纳米CMOS技术设计。仿真结果表明,该电路在1.1 V电源下的信号带宽为300 Hz以上,动态范围为68 dB,功耗为14 nW。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A High-pass Filter with On-chip Body Bias Technique for Neural Signals Processing
This manuscript presents a high-pass filter for neural signals processing. An operational transconductance amplifier-capacitor (OTA-C) filter architecture is chosen to decrease the power consumption and the active area. The on-chip body bias technique is adopted to reduce the offset of the bandwidth due to the process, voltage and temperature (PVT) variation. The proposed filter is designed in 40 nm CMOS technology. Simulation results indicate that it has a signal bandwidth located above 300 Hz, dynamic range of 68 dB, and a power consumption of 14 nW at 1.1 V supply.
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