2016
A novel feedforward noise shaping for word-length reduction
ICASSP 2016accepted
In this paper, we present a novel approach to shape the quantization noise during word-length reduction. In comparison to the traditional feedback noise shaping, our approach is feedforward and thus inherently stable. It can achieve one or multiple frequency notches in the quantization noise spectru…