Framewise Repeated Coefficient Updates for Enhanced Nonlinear AEC by Diagonal Coordinate Volterra Filters

In this paper, we extend the approach of iterated coefficient updates to DFT-domain Volterra filters in diagonal coordinates. This technique, which has recently been successfully applied to the partitioned block frequency-domain Volterra filter, repeatedly uses the same block of data of the DFT-domain LMS adaptation and thus performs several updates per frame. Therefore, the available signal innovation is exploited more efficiently as this procedure can be implemented using a recursive scheme which demands a relatively moderate increase in computational power compared to the significantly improved performance. The benefits of such an approach are demonstrated by experimental results regarding both the echo return loss enhancement (ERLE) and the coefficient error norms of higher- order kernels for both noise and real speech signals.