Empirical recovery of input nonlinearity in distributed element models

摘要

Two algorithms recovering an input nonlinearity in a nonlinear distributed element modeled as a Hammerstein system are proposed. The first is based on the empirical distribution function while the other on the empirical Haar orthogonal series. Both algorithms self-adjust their accuracy to a local density of the input measurements.