During the last decade, several spectral estimation techniques have been proposed for application to SAR/ISAR imaging. The present study attempts to shed light to a number of parametric spectral estimation methods, employed for ISAR imaging of aircraft targets. We focus on performance comparison with respect to 1-D and 2-D image resolution. Auto-regressive methods and MUSIC algorithm are examin...

Warning: these notes are still very rough. They provide more details on what we discussed in class, but there may still be some errors, incomplete/imprecise statements, etc. in them. Last time, we considered local spectral methods that involve short random walks started at a small set of localized seed nodes. Several things are worth noting about this. • The basic idea is that these random walk...

Abstract Steganography is the art and science of writing hidden messages in such a way that no one apart from the intended recipient knows of the existence of the message. In today’s world, it is widely used in order to secure the information. Since digital forensics aims to detect, recover and examine the digital evidence and steganography is a method for hiding digital evidence, detecting the...

Standard spectral methods are capable of providing very accurate approximations to well-behaved smooth functions with significantly less degrees of freedom when compared with finite difference or finite element methods (cf. [6,7,11]). However, if a function exhibits localized behaviors such as sharp interfaces, very thin internal or boundary layers, using a standard Gauss-type grid usually fail...

Die gleichmäßige Verteilung der auftretenden Rechenlast bei gleichzeitiger Minimierung der Kommunikation ist von entscheidender Bedeutung für die effiziente Auslastung der Ressourcen eines parallelen Systems. Eine große Zahl von Lastverteilungsverfahren wurde entwickelt und durch theoretische Analyse, durch Experimente und durch Integration in Anwendungen untersucht. Unter diesen Verfahren spie...

A framework for the construction of stable spectral methods on arbitrary domains with unstructured grids is presented. Although most of the developments are of a general nature, an emphasis is placed on schemes for the solution of partial differential equations defined on the tetrahedron. In the first part the question of well-behaved multivariate polynomial interpolation on the tetrahedron is ...

With the rapid growth of the World Wide Web and the capacity of digital data storage, tremendous amount of data are generated daily from business and engineering to the Internet and science. The Internet, financial real-time data, hyperspectral imagery, and DNA microarrays are just a few of the common sources that feed torrential streams of data into scientific and business databases worldwide....

This work is concerned with the problem of point set matching over features extracted from images. A novel approach to the problem is proposed which leverages different techniques from the literature. It combines a number of similarity metrics that quantify measures of correspondence between the two sets of features and introduces a non-iterative algorithm for feature matching based on spectral...

0167-8655/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.patrec.2011.04.004 ⇑ Corresponding author. E-mail addresses: [email protected], lihousen yahoo.cn (H. Jiang), [email protected] (R. Barrio), clzch [email protected] (F. Su). Recent years have witnessed great success of manifold learning methods in understanding the structure of multidimensional patterns. However, most of these ...

A computation is a temptation that should be resisted as long as possible. "