We present a numerical comparison of the so-called ‘linear sampling’ inverse scattering methods developed by Colton and Kirsch, published in this journal, and linearized tomographic inverse scattering algorithms based on either holographic filtered backpropagation principles or a plain matrix inversion scheme. Although we restrict ourselves to two-dimensional obstacle scattering, we investigate...

This paper is concerned with the optimal design of axial probes, commonly used in Non-Destructive Testing (NDT) tube boiling steam generators. The goal to improve low-frequency Foucault-current imaging these deposits by designing a novel probe. approach uses combination an inverse problem solver global optimization find probe characteristics minimizing function merit defined using image process...

In treating dynamic systems, sequential Monte Carlo methods use discrete samples to represent a complicated probability distribution and use rejection sampling, importance sampling and weighted resampling to complete the on-linè®ltering' task. We propose a special sequential Monte Carlo method, the mixture Kalman ®lter, which uses a random mixture of the Gaussian distributions to approximate a ...