Multimodulus algorithms (MMA) based adaptive blind equalizers mitigate inter-symbol
interference and recover carrier-phase in communication systems by minimizing dispersion …

The multimodulus algorithm (MMA) is widely used to suppress inter-symbols interference
(ISI) in communication systems because of its advantages that it can complete blind …

In this paper, the problem of blind equalization of high-order quadrature amplitude
modulation (QAM) signals is tackled by using a batch equalizer based on support vector …

As a blind equalization algorithm, the fractional lower-order statistics based multimodulus
algorithm (FLOS-MMA) is suitable for equalizing multilevel quadrature amplitude modulation …

This paper addresses the problem of blind identification of multichannel systems. It proposes
three different novel algorithms by exploiting the inherent Toeplitz/Sylvester structures …

As an adaptive finite impulse response filtering algorithm, the maximum total correntropy
(MTC) algorithm plays an important role in parameter estimation of the errors-in-variables …

In this paper, we first introduce cross-correlation term to a new multimode based algorithm,
then propose two dual-mode blind source separation and equalization schemes to mitigate …

In the literature, we can find several blind adaptive deconvolution algorithms based on
closed-form approximated expressions for the conditional expectation (the expectation of the …

In a blind adaptive deconvolution problem, the convolutional noise observed at the output of
the deconvolution process, in addition to the required source signal, is—according to the …

The performance of blind equalization algorithm is closely related to the characteristics of
the channel. Eigenvalue spread of the channel can reflect the influence of the channel on …