Skip to main content
Video s3
    Details
    Presenter(s)
    Ryoya Shibata Headshot
    Display Name
    Ryoya Shibata
    Affiliation
    Affiliation
    University of Tokyo
    Country
    Country
    Japan
    Author(s)
    Display Name
    Ryoya Shibata
    Affiliation
    Affiliation
    University of Tokyo
    Display Name
    Zule Xu
    Affiliation
    Affiliation
    The University of Tokyo
    Display Name
    Yasushi Hotta
    Affiliation
    Affiliation
    University of Hyogo
    Display Name
    Hitoshi Tabata
    Affiliation
    Affiliation
    University of Tokyo
    Display Name
    Tetsuya Iizuka
    Affiliation
    Affiliation
    University of Tokyo
    Abstract

    Stochastic resonance is known as a phenomenon where the SNR of a nonlinear system improves by adding a proper level of noise. To facilitate this phenomenon, this paper proposes a stochastic resonance ADC (SR ADC) based on a charge-redistribution CDAC. The proposed SR ADC utilizes the same architecture as a CDAC-based SAR ADC. The performance of the SR ADC is analyzed in detail to demonstrate its feasibility and advantage over the typical Nyquist ADC, which reveals that the SR ADC is useful to convert the weak input signal whose amplitude is comparable to the input-referred noise of the comparator.

    Slides
    • A Charge-Redistribution Multi-Bit Stochastic-Resonance ADC Enhancing SNDR for Weak Input Signal (application/pdf)