TITLE: Adaptive Filtering for Non-Gaussian Processes
AUTHOR: Preben Kidmose
Department of Mathematical Modelling, Building 321
Technical University of Denmark, DK-2800 Lyngby, Denmark
A new stochastic gradient robust filtering method, based on a
non-linear amplitude transformation, is proposed. The method requires
no a priori knowledge of the characteristics of the input signals and
it is insensitive to the signals distribution and to the stationarity
of the signals.
A simulation study, applying both synthetic and real-world signals,
shows that the proposed method has overall better robustness
performance, in terms of modeling error, compared with
state-of-the-art robust filtering methods. A remarkable property of
the proposed method is that it can handle double-talk in the
acoustical echo-cancellation problem.
Appears in Proc. of ICASSP2000, Istanbul, Turkey, June 5-9, 2000.