A Volterra approach to model nonlinear complex-valued systems is demonstrated.
The model generalizes widely linear transformations to nonlinear systems.
It encompasses diverse specific models for nonlinear complex-valued systems.
A sparse representation is adopted to prune the model parameters.
Results concerning nonlinear communication subsystems show excellent performance.