Title :
Performance evaluation of the ICA-based adaptive filtering algorithm
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
A novel finite impulse response (FIR) adaptive filter algorithm was proposed for system identification based on independent component analysis (ICA). It shows an excellent robustness for non-Gaussian disturbance. In this paper, we discuss various properties of this ICA-based adaptive filter algorithm, including the role of the scaling parameter, the local stability condition and a performance analysis by calculating the estimation error covariance matrix using the ordinary differential equation (ODE) approach.
Keywords :
FIR filters; adaptive filters; covariance matrices; differential equations; independent component analysis; performance evaluation; FIR filter algorithm; ICA-based adaptive filtering algorithm; ODE approach; estimation error covariance matrix; finite impulse response filter algorithm; independent component analysis; local stability condition; non-Gaussian disturbance; ordinary differential equation approach; performance evaluation; scaling parameter; system identification; Algorithm design and analysis; Covariance matrix; Estimation error; Indexes; Noise; Robustness; Stability analysis; Adaptive filters; Independent component analysis; Ordinary differential equation approach; Performance evaluation;
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
DOI :
10.1109/ICSAI.2012.6223654
