Fig. 8From: Significance-aware filtering for nonlinear acoustic echo cancellationRelative number of FLOPs for system identification with different models, revealing a significant complexity reduction by ESA filtering for a low number of frames (even without block partitioning) and for a high number of branches. The relative FLOPs result from normalization to the FLOPs of a linear model with P=4 partitions in (a) and P=1 partition in (b)Back to article page