Discrete nonlinear inverse filtering
Sarah A. Rajala · Rice Research Repository (Rice University) · 1977
A new mathematical derivation is developed for the solution of the problem of nonlinear inverse filtering. It is derived for systems with finite deterministic signals, i. e., the output y of the system is a finite set of data samples. It is assumed that the system generating this output can be represented by a discrete Volterra series, the kernels of this series being known. With knowledge of both the output and these nonlinear kernels# the model is derived for the nonlinear inverse filter. The output of this filter x