2016
Perfect error compensation via algorithmic error cancellation
ICASSP 2016accepted
This paper presents a novel statistical error compensation (SEC) technique — algorithmic error cancellation (AEC)-for designing robust and energy-efficient signal processing and machine learning kernels on scaled process technologies. AEC exhibits a perfect error compensation (PEC) property, i.e., i…