In a nonlinear signal filtering system, a signal having a series of signal samples is filtered. The signal samples are affected by interactions with adjacent signal samples and nonlinear distortions. The system contains a series of alternating linear system elements and nonlinear system elements that are used for mitigation of distortion resulting from the nonlinear distortions with memory effects. The linear system elements can scale each signal sample in the series of signal samples by scaling parameters and sums a plurality of consecutive scaled signal samples, and the nonlinear system elements can transform the output of the linear system elements according to instantaneous nonlinear functions.

In a nonlinear signal filtering system, a signal having a series of signal samples is filtered. The signal samples are affected by interactions with adjacent signal samples and nonlinear distortions. The system contains a series of alternating linear system elements and nonlinear system elements that are used for mitigation of distortion resulting from the nonlinear distortions with memory effects. The linear system elements can scale each signal sample in the series of signal samples by scaling parameters and sums a plurality of consecutive scaled signal samples, and the nonlinear system elements can transform the output of the linear system elements according to instantaneous nonlinear functions.

In a nonlinear signal filtering system, a signal having a series of signal samples is filtered. The signal samples are affected by interactions with adjacent signal samples and nonlinear distortions. The system contains a series of alternating linear system elements and nonlinear system elements that are used for mitigation of distortion resulting from the nonlinear distortions with memory effects. The linear system elements can scale each signal sample in the series of signal samples by scaling parameters and sums a plurality of consecutive scaled signal samples, and the nonlinear system elements can transform the output of the linear system elements according to instantaneous nonlinear functions.

A method for providing configuration information for a system having a plurality of vehicles includes assigning, for each vehicle, a first number of degrees of freedom (DOF); presetting one or more system parameters representing a performance of at least part of the system (SP); successively optimizing each respective vehicle at each station by selecting a DOF for each vehicle from a second number of DOF for the respective vehicle and computing a global SP; assigning each vehicle of each station a DOF resulting from a first system configuration (SC); evaluating the global SP for the first SC; identifying one or more stations having a negative impact (NIS) on the global SP on the first SC; and successively optimizing, for the one or more NIS, each vehicle locally at each respective NIS with regard to the SP with a number of DOF greater than said second number of DOF.