A novel low-power filter design via reduced-precision redundancy for voltage overscaling applications

In this paper, we apply adaptive-signal processing in the reduced precision redundancy filter design for the voltage scaling (VOS) application to achieve high energy efficiency and high SNR performance. RPR technique can mitigate the soft error caused by VOS in the critical path, but the SNR performance of RPR is limited. Thus, we combined RPR and adaptive signal processing to achieve high SNR and low power consumption performance simultaneously for VOS applications. The adaptive signal processing is used to recover the middle significant bits in the result of the filter. From case studies, we find that the proposed method can obtain up to 64% energy reduction with much less SNR performance degradation losing than the traditional RPR and its optimization schemes.