Online tracking of the degree of nonlinearity within complex signals

A novel method for online tracking of the changes in the nonlinearity within complex–valued signals is introduced. This is achieved by a collaborative adaptive signal processing approach by means of a hybrid lter. By tracking the dynamics of the adaptive mixing parameter within the employed hybrid ltering architecture, we show that it is possible to quantify the degree of nonlinearity within complex–valued data. Simulations on both benchmark and real world data support the approach.

• Type: Conference
• Year: 2008
• Where: ICASSP
• Authors: Danilo P. Mandic, Phebe Vayanos, Soroush Javidi, Beth Jelfs, Kazuyuki Aihara
• Keywords: Adaptive Mixing Parameter, Collaborative Adaptive Signal, Hybrid Ltering Architecture, ICASSP 2008, Signal Processing