-

A reflection seismogram can be represented as a convolution of a
source wavelet with a set of reflection coefficients. In a standard
model these coefficients are scalar and real impulses. For all plane
waves, displacements are phase shifted in post-critical angles. In this
case reflection coefficients can be complex and the scalar
deconvolution does not remove distortions perfectly. To overcome
this problem, it has been attempted to examine an analytical technique
[i.e. Analytic Minimum Information Deconvolution (AMID)] that can
remove distorted effects from seismograms. The necessary codes have
been written for applying AMID technique to synthetic and real data.
Using computer programs in seismology (Herrmann, 1996), the
necessary synthetic seismograms are generated for a specific
structural earth model. 10% random noise is added to the synthetic
seismograms and the output of AMID filter is investigated for
different source - receiver offsets. The results of this study shows the
ability of AMID for elimination of random noise and Moho phase
detection