HV compliant current driver with on-chip read-out protection switch for neural stimulation

Analog-to-digital (quantization) and digital-toanalog (de-quantization) conversion are fundamental operations of many information processing systems. In practice, the precision of these operations is always bounded, first by the random mismatch error (ME) occurred during system implementation, and subsequently by the intrinsic quantization error (QE) determined by the system architecture itself. In this manuscript, we present a new mathematical interpretation of the previously proposed redundant sensing (RS) architecture that not only suppresses ME but also allows achieving an effective resolution exceeding the system's intrinsic resolution, i.e. super-resolution (SR). SR is enabled by an endogenous property of redundant structures regarded as "code diffusion" where the references' value spreads into the neighbor sample space as a result of ME. The proposed concept opens the possibility for a wide range of applications in low-power fully-integrated sensors and devices where the costaccuracy trade-off is inevitable.

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Achieving Super-Resolution With Redundant Sensing

Luu

Nguyen

Yang

2019

IEEE Trans. Biomed. Eng.

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A 1.6-V Tolerant Multiplexer Switch With 0.96-V Core Devices in 28-nm CMOS Technology

Biccario

Vitrenko

Nonis

et al. 2021

IEEE Trans. Circuits Syst. I

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A 5-V Switch for Analog Multiplexers With 2.5-V Transistors in 28-nm CMOS Technology

Biccario¹,

Vitrenko

Nonis³

et al. 2023

IEEE Trans. VLSI Syst.

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HV compliant current driver with on-chip read-out protection switch for neural stimulation

Cited by 3 publications

References 28 publications

Achieving Super-Resolution With Redundant Sensing

Achieving Super-Resolution With Redundant Sensing

A 1.6-V Tolerant Multiplexer Switch With 0.96-V Core Devices in 28-nm CMOS Technology

A 5-V Switch for Analog Multiplexers With 2.5-V Transistors in 28-nm CMOS Technology

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