seismic inversion is a method that extracts acoustic impedance data from the seismic traces. sourcewavelets are band-limited, and thus seismic traces do not contain low and high frequency information.therefore, there is a serious problem when the deterministic seismic inversion is applied to real dataand the result of deterministic inversion is smooth. low frequency component is obtained from w...

Oculo-auriculovertebral dysplasia (Goldenhar) is a congenital syndrome. Its phenotype differs from craniofacial anomalies to cardiac, vertebral or central nervous system defects. This syndrome is rare and its etiology is not apparent yet. Pericentric inversion of chromosome 9 is one of the most common structural balanced chromosomal aberrations with its incidences 15% to 25%. Herein we present ...

Stability of the solutions to 3D inverse scattering problems with fixed-energy data. Abstract A review of the author's results is given. Inversion formulas and stability results for the solutions to 3D inverse scattering problems with fixed energy data are obtained. Inversion of exact and noisy data is considered. The inverse potential scattering problem with fixed-energy scattering data is dis...

here in, an application of a new seismic inversion algorithm in one of iran’s oilfields is described. stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of geostatistics and seismic inversion algorithm. this method integrates information from different data sources with different scales, as prior informat...

We solve two related extremal problems in the theory of permutations. A set Q of permutations of the integers 1 to n is inversion-complete (resp., pair-complete) if for every inversion (j, i), where 1 ≤ i < j ≤ n, (resp., for every pair (i, j), where i 6= j) there exists a permutation in Q where j is before i. It is minimally inversion-complete if in addition no proper subset of Q is inversion-...

Knowledge of vocal-tract (VT) length is a logical prerequisite for acoustic-to-articulatory inversion. Prior work has treated VT length estimation (VTLE) and inversion largely as separate problems. We describe a new algorithm for VTLE based on acoustic-to-articulatory inversion. Our inversion process uses the Maeda model (MM, [1,2]) and combines global search [3] and dynamic programming for tra...

When an inverse problem can be formulated so the data are minima of one of the variational problems of mathematical physics, feasibility constraints can be found for the nonlinear inversion problem. These constraints guarantee that optimal solutions of the inverse problem lie in the convex feasible region of the model space. Furthermore, points on the boundary of this convex region can be found...

In this paper, a new complex-valued recurrent neural network (CVRNN) called complexvalued Zhang neural network (CVZNN) is proposed and simulated to solve the complexvalued time-varying matrix-inversion problems. Such a CVZNN model is designed based on a matrix-valued error function in the complex domain, and utilizes the complex-valued first-order time-derivative information of the complex-valu...

The main cost of Gauss-Newton (GN) inversion of timedomain controlled-source electromagnetic (tCSEM) data is comprised of the multiple solutions of the forward problem and linear-algebraic operations using the Jacobian matrix. For large-scale 2.5D and 3D problems with multiple sources and receivers, this cost grows enormously for inversion algorithms using conventional finite-difference time-do...