TY - GEN
T1 - Reduced rank adaptive filtering in impulsive noise environments
AU - Soury, Hamza
AU - Abed-Meraim, Karim
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2014/11
Y1 - 2014/11
N2 - 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. © 2014 IEEE.
AB - 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. © 2014 IEEE.
UR - http://hdl.handle.net/10754/577134
UR - http://ieeexplore.ieee.org/document/7094830/
UR - http://www.scopus.com/inward/record.url?scp=84940537164&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2014.7094830
DO - 10.1109/ACSSC.2014.7094830
M3 - Conference contribution
SN - 9781479982974
SP - 2037
EP - 2041
BT - 2014 48th Asilomar Conference on Signals, Systems and Computers
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -