标题： 含噪盲解卷积模型中的参数估计：一种新的估计方法 显示英文标题

标题： Parametric estimation in noisy blind deconvolution model: a new estimation procedure

摘要： 本文在一个参数框架下，致力于研究复杂数字盲去卷积噪声模型中逆滤波器和噪声水平的一种新估计方法。 我们的估计方法是利用Hankel形式的特殊性质得出的。 同时，还估计了输入信号的分布。 所有估计值的强相合性和渐近分布均被证明。 此外，加入了一致性模拟研究，以实证验证我们估计方法的计算性能。 显示英文摘要

摘要： 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.