论文标题
97 FJ/转换神经元-ADC，可重新配置并减少静态功率
A 97 fJ/Conversion Neuron-ADC with Reconfigurable Sampling and Static Power Reduction
论文作者
论文摘要
在这项工作中提出了具有可重构抽样和静态功率的生物启发的神经元-ADC。神经元-ADC利用级别的交叉抽样和生物启发的难治性电路可压缩地将生物信号转换为数字尖峰和利益信息。所提出的设计不仅可以避免在不必要的数据上耗散ADC能量，而且还可以实现可重新配置的采样，从而使其适合于低功率操作或处理各种生物信号时的高精度转换。此外，提出的动态比较器可以将静态功率降低到10 kHz正弦输入测试时，最高41.1％。 40 nm CMOS过程的仿真结果表明，神经元-ADC达到6.9位的最大应附作用，相应的FOM在0.6 V电源电压下为97 FJ/转换。
A bio-inspired Neuron-ADC with reconfigurable sampling and static power reduction for biomedical applications is proposed in this work. The Neuron-ADC leverages level-crossing sampling and a bio-inspired refractory circuit to compressively converts bio-signal to digital spikes and information-of-interest. The proposed design can not only avoid dissipating ADC energy on unnecessary data but also achieve reconfigurable sampling, making it appropriate for either low power operation or high accuracy conversion when dealing with various kinds of bio-signals. Moreover, the proposed dynamic comparator can reduce static power up to 41.1% when tested with a 10 kHz sinusoidal input. Simulation results of 40 nm CMOS process show that the Neuron-ADC achieves a maximum ENOB of 6.9 bits with a corresponding FoM of 97 fJ/conversion under 0.6 V supply voltage.
