Channel equalization problem is an important problem in high-speed communications. The sequences of symbols transmitted are distorted by neighboring symbols. Traditionally, the channel equalization problem is considered as a channel-inversion operation. One problem of this approach is that there is no direct correspondence between error probability and residual error produced by the channel inv...

This paper presents a comparative study between different scalar linear and nonlinear inversion algorithms applied to electromagnetic and elastodynamic (ultrasonic) data sets. The inversion schemes are considered as follows: Synthetic Aperture Radar/Synthetic Aperture Focusing Technique, Diffraction Tomography, MUSIC Algorithm, Linear Sampling Method, Modified Gradient in Field Method, Contrast...

in this paper, we studied effect of different parameters including density, viscosity, interfacial tension and solute transfer concentration on phase inversion hold-up. the results showed that change in phase density ratio had no effect on phase inversion hold-up. it also disclosed that the phase viscosity ratio was the most effective parameter affecting phase inversion hold-up and each phase h...

The inversion design approach is a very useful tool for the complex multiple-input-multiple-output nonlinear systems to implement the decoupling control goal, such as the airplane model and spacecraft model. In this work, the flight control law is proposed using the neural-based inversion design method associated with the nonlinear compensation for a general longitudinal model of the airplane. ...

inverse modeling is one of the most elegant geophysical tools for obtaining 2-d and 3-d images of geological structure. determination of the geometry of bedrock, by nonlinear inverse modeling of gravity data, is the aim of this paper. the algorithm uses a nonlinear iterative procedure for simulation of bedrock geometry. at the first step, the nonlinear problem changes to a linear problem by a p...

Linear inverse scattering problems can be solved by regularized inversion of a matrix, whose calculation and inversion may require significant computing resources, in particular, a significant amount of RAM memory. This effort is dependent on the extent of the investigation domain, which drives a large amount of data to be gathered and a large number of unknowns to be looked for, when this doma...

The statistical independence between the distributions of different chromophores in tissue has previously been used for linear unmixing with independent component analysis (ICA). In this study, we propose exploiting this statistical property in a nonlinear model-based inversion method. The aim is to reduce the sensitivity of the inversion scheme to errors in the modelling of the fluence, and he...

This paper presents an approach to articulatory inversion using audio and video of the user’s face, requiring no special markers. The video is stabilized with respect to the face, and the mouth region cropped out. The mouth image is projected into a learned independent component subspace to obtain a low-dimensional representation of the mouth appearance. The inversion problem is treated as one ...

We present three-dimensional inversion algorithms for inversion of cross-well electromagnetic and controlled-source electromagnetic (CSEM) data. The inversion is accomplished with a Gauss-Newton technique where the model parameters are forced to lie within their upper and lower bounds by means of a non-linear transformation procedure. The Jacobian is computed using an adjoint method. A line sea...

This work is devoted to the theory of joint interpretation of multimethod geophysical data and its application to the solution of real geophysical inverse problems. The targets of such joint interpretation can be geological bodies with an established dependence between various physical properties that cause anomalies in several geophysical fields (geophysical multiresponse). The establishing of...