Title :
Reduced rank adaptive filtering in impulsive noise environments
Author :
Soury, Hamza ; Abed-Meraim, Karim ; Alouini, Mohamed-Slim
Author_Institution :
CEMSE Div., King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
Abstract :
An impulsive noise environment is considered in this paper. A new aspect of signal truncation is deployed to reduce the harmful effect of the impulsive noise to the signal. A full rank direct solution is derived followed by an iterative solution. The reduced rank adaptive filter is presented in this environment by using two methods for rank reduction, while the minimized objective function is defined using the Lp norm. The results are presented and the efficiency of each method is discussed.
Keywords :
adaptive filters; iterative methods; minimisation; signal denoising; Lp norm; full rank direct solution; impulsive noise environments; impulsive noise harmful effect reduction; iterative solution; minimized objective function; rank reduction method; reduced rank adaptive filtering; signal truncation; Bit error rate; Estimation; Gaussian noise; Linear programming; Optimized production technology; Signal to noise ratio; α-stable; Adaptive filter; Impulsive noise; Krylov subspace; Lp norm; Reduced rank; Truncation;
Conference_Titel :
Signals, Systems and Computers, 2014 48th Asilomar Conference on
Print_ISBN :
978-1-4799-8295-0
DOI :
10.1109/ACSSC.2014.7094830
