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A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC

机译:基于充电再分配SAR ADC的被动和低复杂性压缩传感架构

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An innovative analog-to-digital converter (ADC) architecture is proposed, with the aim of acquiring an input signal according to the Compressed Sensing (CS) paradigm and without the need for dedicated active analog blocks. Its core is the capacitive array employed in traditional successive-approximation-register (SAR) ADCs. Introducing only a few additional switches, the array can compute the linear combination of consecutive signal samples, as required by the CS encoding.To manage the presence of leakage currents, which may impair signal reconstruction, a compensation circuit is considered, allowing close-to-ideal performance of the system when properly designed. A neural network-based decoding strategy is also analyzed, with up to 20 dB of additional reconstruction quality with respect to standard algorithms. Synthetic electrocardiogram signals are used to validate optimizations both at the hardware level in the encoding block and at the software level in the decoder.
机译:提出了一种创新的模数转换器(ADC)架构,目的是根据压缩感测(CS)范式获取输入信号,而无需专用的活动模拟块。其核心是传统的连续近似寄存器(SAR)ADC中采用的电容阵列。仅引入几个附加开关,阵列可以根据CS编码的要求计算连续信号样本的线性组合。要管理漏电流的存在,可能损害信号重建,所考虑补偿电路,允许近距离适当设计时系统的性能。还分析了基于神经网络的解码策略,相对于标准算法,高达20 dB的额外重建质量。合成心电图信号用于验证在编码块中的硬件级别和解码器中的软件级别的优化。

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