This paper presents a new joint inversion approach to shape-based inverse problems. Given two sets of data from distinct physical models, the main objective is to obtain a unified characterization of inclusions within the spatial domain of the physical properties to be reconstructed. Although our proposed method generally applies to many types of inverse problems, the main motivation here is to...

Deciding the appropriate representation to use for modeling human auditory processing is a critical issue in auditory science. While engineers have successfully performed many single-speaker tasks with LPC and spectrogram methods, more difficult problems will need a richer representation. This paper describes a powerful auditory representation known as the correlogram and shows how this non-lin...

The Face Inversion Effect (FIE), the finding that inversion disproportionately affects face recognition, is one of the primary pieces of evidence suggesting that faces are encoded in a qualitatively different way to other stimuli (e.g., along configural as well as featural dimensions). However, when Loftus, Oberg and Dillon (2004) tested the FIE using statetrace analysis (Bamber, 1979), they fo...

This paper focuses on the application of a recently proposed non-iterative inversion method for three different imaging techniques for two phases materials. Specifically, two techniques concern the retrieval of the resistivity of a conductor (electrical resistance tomography and magnetic induction tomography) and one technique concerns the retrieval of the permittivity of a dielectric material ...

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 deal with an inverse problem of simultaneously identifying the space-dependent diffusion coefficient and the source magnitude in the time fractional diffusion equation from viewpoint of numerics. Such simultaneous inversion problem is often of severe ill-posedness as compared with that of determining a single coefficient function. The forward problem is solved by employing an implicit finite...

The displacement back analysis is an effective means on inversion of rock mechanical parameters. Differential evolution algorithm has many advantages and good prospects to solve problems of geotechnical parameters. The program is used to the simulation of the true tunnel with C++ language, while it is embedded into differential evolution algorithm to achieve the inversion parameter. Applying to...

The representation of a function by its circular Radon transform (CRT) and various related problems arise in many areas of mathematics, physics and imaging science. There has been a substantial spike of interest towards these problems in the last decade mainly due to the connection between the CRT and mathematical models of several emerging medical imaging modalities. This paper contains some n...

Many currently proposed seismic inversion techniques that focus on robustness with respect to the background model choice are not appropriate for large-scale 3D applications, and methods computationally feasible industrial problems, such as full-waveform inversion, notoriously limited by convergence stagnation require adequate starting models. We have developed a novel solution is scalable less...