TY - GEN
T1 - A family of normalized least mean fourth algorithms and their tracking analysis
AU - Zerguine, Azzedine
PY - 2009
Y1 - 2009
N2 - In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algorithm, the convergence behavior of these algorithms is independent of the input data correlation statistics. Moreover, the tracking analysis of these algorithms is carried out in the presence of two sources of nonstationarites (carrier frequency offset between transmitter and receiver, and random variations in the environment). Simulation results agree very closely with theory and an enhancement in performance is obtained through the use of these techniques over the LMF algorithm. the step size.
AB - In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algorithm, the convergence behavior of these algorithms is independent of the input data correlation statistics. Moreover, the tracking analysis of these algorithms is carried out in the presence of two sources of nonstationarites (carrier frequency offset between transmitter and receiver, and random variations in the environment). Simulation results agree very closely with theory and an enhancement in performance is obtained through the use of these techniques over the LMF algorithm. the step size.
UR - https://www.scopus.com/pages/publications/77749329047
U2 - 10.1109/ISSPIT.2009.5407503
DO - 10.1109/ISSPIT.2009.5407503
M3 - Conference contribution
AN - SCOPUS:77749329047
SN - 9781424459506
T3 - IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009
SP - 297
EP - 302
BT - IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009
ER -