On complex domain decision feedback equalizer based on Bell-Sejnowski neuron

This paper considers the complex domain Bell-Sejnowski class neuron in the self-optimized decision feedback equalizer structure where an appropriate nonlinearity responds with the maximum entropy signal. The presented simulation results have proved the stability of the joint entropy maximization algorithm during the blind acquisition mode and also its ability to mitigate the error propagation effects that emerge when the cascade of linear components switches into the decision feedback mode.