A new normalised LMF (XE-NLMF) algorithm is proposed for channel equalisation to improve the convergence speed and bit error rate performance. The analysis of the LMF algorithm’s initial convergence in the mean has facilitated the normalisation which is bounded by the error power and signal power. Hence, a combination of the signal power and error power, by means of mixing, is used to normalise the step size. The proposed normalisation improves the stability of the mean fourth cost function and achieves a faster convergence in both co-channel interference and white noise. The complexity of the normalised LMF algorithm is slightly higher than the NLMS algorithm but the convergence speed and bit error rate performance significantly outperform...
For the purpose of equalisation of rapidly time variant multipath channels, we derive a novel adapti...
The normalized least mean fourth (NLMF) algorithm is presented in this work and shown to have potent...
The fastest growing segment of the communication industry is the mobile wireless communication syste...
In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algor...
In this paper, the performance analysis of the least mean fourth (LMF) algorithm and the sign regres...
23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu ...
The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potent...
Channel equalization is one of the applications of adaptive filtering. This paper includes an effici...
Abstract: − This paper introduces several new least mean-square (LMS) algorithms based on error norm...
In this paper, research on exploring the potential of several popular equalization techniques while ...
It has previously been shown that a least-mean-square (LMS) decision-feedback filter can mitigate th...
The major problems in today\u27s wireless communications is time dispersion and inter symbol interfe...
The normalized least mean fourth (NLMF) algorithm is presented in this work and shown to have potent...
The changes in signal characteristics of many interference cancellation applications could be quite ...
The task of adaptive estimation in the presence of random and highly nonlinear environment such as w...
For the purpose of equalisation of rapidly time variant multipath channels, we derive a novel adapti...
The normalized least mean fourth (NLMF) algorithm is presented in this work and shown to have potent...
The fastest growing segment of the communication industry is the mobile wireless communication syste...
In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algor...
In this paper, the performance analysis of the least mean fourth (LMF) algorithm and the sign regres...
23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu ...
The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potent...
Channel equalization is one of the applications of adaptive filtering. This paper includes an effici...
Abstract: − This paper introduces several new least mean-square (LMS) algorithms based on error norm...
In this paper, research on exploring the potential of several popular equalization techniques while ...
It has previously been shown that a least-mean-square (LMS) decision-feedback filter can mitigate th...
The major problems in today\u27s wireless communications is time dispersion and inter symbol interfe...
The normalized least mean fourth (NLMF) algorithm is presented in this work and shown to have potent...
The changes in signal characteristics of many interference cancellation applications could be quite ...
The task of adaptive estimation in the presence of random and highly nonlinear environment such as w...
For the purpose of equalisation of rapidly time variant multipath channels, we derive a novel adapti...
The normalized least mean fourth (NLMF) algorithm is presented in this work and shown to have potent...
The fastest growing segment of the communication industry is the mobile wireless communication syste...