Abstract Multiple Input Multiple Output (MIMO) is a technology used to improve the channel
capacity of the wireless communication systems. Rapid increase in the number of users has …

Multiple‐input and multiple‐output (MIMO) technology is one of the latest technologies to
enhance the capacity of the channel as well as the service quality of the communication …

In this study, we present a modified fuzzy c-means (MFCM) clustering algorithm in the
problem of nonlinear blind channel equalization. The proposed MFCM searches for the …

Traditional optimization algorithms for blind signal separation (BSS) are mainly based on the
gradient, which requires the objective function to be continuous and differentiable, so the …

The numbers of multimedia applications and their users increase with each passing day.
Different multi-carrier systems have been developed along with varying techniques of space …

In this paper, a cost function of independence of signals based on second order correlation
coefficient and high order correlation coefficient is proposed, and an algorithm for linear …

In modern communication, MIMO technology appeared to be one of the important
technologies. System capacity and service quality are enhanced by using this technology …

Blind source separation technique separates mixed signals blindly without any information
on the mixing system. In this paper, we have used two evolutionary algorithms, genetic …

In multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM)
systems, multi-user detection (MUD) algorithms play an important role in reducing the effect …

In recent years, separating effective target signals from mixed signals has become a hot and
challenging topic in signal research. The SI-BSS (Blind source separation (BSS) based on …