The spatial position and dip feature of the density boundary are significant to study fault tectonic frameworks. Edge detection methods generally attach importance horizontal boundary, but it is difficult determine expressly. A gradient inversion method was proposed based on corresponding relationship among gravity forward field, kernel matrix, model attributes. result this that value different...

The response of the Antarctic ice sheet (AIS) to changing global temperatures is a key component of sea-level projections. Current projections of the AIS contribution to sea-level changes are deeply uncertain. This deep uncertainty stems, in part, from (i) the inability of current models to fully resolve key processes and scales, (ii) the relatively sparse available data, and (iii) divergent ex...

Ocean acoustic sound speed profile (SSP) estimation requires the inversion of acoustic fields using limited observations. Compressive sensing (CS) asserts that certain underdetermined problems can be solved in high resolution, provided their solutions are sparse. Here, CS is used to estimate SSPs in a range-independent shallow ocean by inverting a non-linear acoustic propagation model. It is sh...

INTRODUCTION Uterine inversion is a rare obstetric emergency that can lead to hypovolemic shock or even maternal death. There are many management strategies, but they are poorly described and dispersed in the medical literature. The purpose of this article is to describe a case of complete acute uterine inversion and a review of the literature. CASE PRESENTATION The authors describe a case of...

Abstract Sparse seismic inversion is wildly utilized for reservoir prediction and resolution improvement. Matching pursuit (MP) an effective algorithm solving L0-norm obtaining sparse results. based on MP (MPSI) can estimate the parameters of subsurface from observations by controlling iterations threshold. However, low convergence stability limit application MPSI. To accelerate MP, full-time d...

Elastic impedance (EI) inversion for partial angle stack seismic data is a key technology in reservoir prediction within the oil and gas industry. EI provides consistent framework to invert data, just as AI does post-stack data. The commonly used process by angle. Hence, inverted different angles may be nonconforming, especially with low signal-to-noise ratio. This paper proposes simultaneously...

In this paper we discuss some aspects of sparse reconstruction techniques for inverse problems, which recently became popular due to several superior properties compared to linear reconstructions. We briefly review the standard sparse reconstructions based on `-minimization of coefficients with respect to an orthonormal basis, and also some recently proposed improvements based on Bregman iterat...

This paper addresses the interpolation of sparse irregular data when these sparse data belong to diff erent scales. We propose an algorithm to iteratively approximate the intermediate values between irregularly sampled data, when a set of sparse values at coarser scales is known. This is possible if there is a characterized model for the multiresolution decomposition / reconstruction scheme of ...

in this research we have studied tabriz temperature inversion using radio-sound information, during the 2004-2008 periods in daily, monthly and seasonally scales. produced data associated with temperature inversion daily of the surface (2 meters) to 700 h.pa. several different measures are used, including the height of the base and the height of the top of the inversion, the temperature at the ...