  In a parametric framework, the paper is devoted to the study of a new
estimation procedure for the inverse filter and the level noise in a complex
noisy blind discrete deconvolution model. Our estimation method is a
consequence of the sharp exploitation of the specifical properties of the
Hankel forms. The distribution of the input signal is also estimated. The
strong consistency and the asymptotic distribution of all estimates are
established. A consistent simulation study is added in order to demonstrate
empirically the computational performance of our estimation procedures.
