Title :
Detection of nonlinearly distorted signals using mutual information
Author :
Ozertem, Umut ; Erdogmus, Deniz ; Santamaria, Ignacio
Author_Institution :
CSEE Dept., Oregon Health & Sci. Univ., Portland, OR, USA
Abstract :
The traditional matched filter is the optimal signal detector under quite restrictive conditions, such as linearity and Gaussianity. In this paper, a nonlinear filter topology based on mutual information is proposed to exploit higher order statistics instead of linear second-order measures. Results demonstrate superior performance in nonlinear amplitude and temporal signal distortion situations.
Keywords :
higher order statistics; matched filters; nonlinear filters; signal detection; higher order statistics; mutual information; nonlinear amplitude; nonlinear filter topology; optimal signal detector; temporal signal distortion situations; traditional matched filter; Filtering theory; Kernel; Matched filters; Mutual information; Nonlinear distortion; Nonlinear filters; Vectors;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1
