In this paper, the performance analysis of the least mean fourth (LMF) algorithm and the sign regressor least mean fourth (SRLMF) algorithm is investigated in an adaptive channel equalization scenario. The simulation results indicate that both the LMF and the SRLMF algorithms exhibit similar bit error rate (BER) performance. Moreover, the results show that the SRLMF algorithm has a slight performance degradation in terms of convergence behavior when compared with the LMF algorithm
In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algor...
A new normalised LMF (XE-NLMF) algorithm is proposed for channel equalisation to improve the converg...
This paper presented a study of three algorithms, the equalization algorithm to equalize the transmi...
In this work, a novel algorithm, called the signed regressor least mean fourth (SRLMF) adaptive algo...
A novel algorithm, called the signed regressor least mean fourth (SRLMF) adaptive algorithm, that re...
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, p...
In this paper, a new algorithm, the ∈-normalized sign regressor least mean fourth (NSRLMF) algorithm...
In this paper, expressions are derived for the steady-state and tracking excess-mean-square error (E...
The major problems in today\u27s wireless communications is time dispersion and inter symbol interfe...
Due to the increasing popularity of digital transmission systems, the need for channel equalizers ha...
Adaptive filters can be used for channel equalization and estimation. When a signal goes through an ...
In this paper, we present the experiment results of three adaptive equalization algorithms: least-me...
Inter-symbol interference if not taken care off may cause severe error at the receiver and the detec...
Abstract — Adaptive channel equalization algorithms are commonly used in wireless communications rec...
The paper derives a stochastic-gradient minimum symbol-error-rate (MSER) algorithm, called the least...
In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algor...
A new normalised LMF (XE-NLMF) algorithm is proposed for channel equalisation to improve the converg...
This paper presented a study of three algorithms, the equalization algorithm to equalize the transmi...
In this work, a novel algorithm, called the signed regressor least mean fourth (SRLMF) adaptive algo...
A novel algorithm, called the signed regressor least mean fourth (SRLMF) adaptive algorithm, that re...
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, p...
In this paper, a new algorithm, the ∈-normalized sign regressor least mean fourth (NSRLMF) algorithm...
In this paper, expressions are derived for the steady-state and tracking excess-mean-square error (E...
The major problems in today\u27s wireless communications is time dispersion and inter symbol interfe...
Due to the increasing popularity of digital transmission systems, the need for channel equalizers ha...
Adaptive filters can be used for channel equalization and estimation. When a signal goes through an ...
In this paper, we present the experiment results of three adaptive equalization algorithms: least-me...
Inter-symbol interference if not taken care off may cause severe error at the receiver and the detec...
Abstract — Adaptive channel equalization algorithms are commonly used in wireless communications rec...
The paper derives a stochastic-gradient minimum symbol-error-rate (MSER) algorithm, called the least...
In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algor...
A new normalised LMF (XE-NLMF) algorithm is proposed for channel equalisation to improve the converg...
This paper presented a study of three algorithms, the equalization algorithm to equalize the transmi...