the focus of this paper is to consider the compressed sensing problem. it is stated that the compressed sensing theory, under certain conditions, helps relax the nyquist sampling theory and takes smaller samples. one of the important tasks in this theory is to carefully design measurement matrix (sampling operator). most existing methods in the literature attempt to optimize a randomly initiali...

Merger and Acquisition fever continues. Whereas the M & A boom of the 1980s was driven largely by financial considerations, resulting in many leveraged buyouts and hostile takeovers, more of today’s mergers and acquisitions are friendly and are motivated by strategic profit goals. Reflecting this transition, marketing synergy has become a more relevant factor in determining the ultimate success...

The focus of this paper is to consider the compressed sensing problem. It is stated that the compressed sensing theory, under certain conditions, helps relax the Nyquist sampling theory and takes smaller samples. One of the important tasks in this theory is to carefully design measurement matrix (sampling operator). Most existing methods in the literature attempt to optimize a randomly initiali...

Keeping spatial data up-to-date is a very time and cost intensive task. Every object of the database has to be checked by a human operator (for example by comparing it with an up-to-date orthophoto) to see if there has been a change in the landscape. Therefore the amount of work of updating a spatial database is nearly as high as the primary acquisition. But a large number of GIS applications r...

We consider two popular, permutation-based, step-down procedures of p-values adjustment in multiple testing problems known as min P and max T and intended for strong control of the family-wise error rate, under the so-called subset pivotality property (SPP). We examine key but subtle issues involved in ascertaining validity of these methods, and also introduce a new, slightly narrower notion of...

We present a unifying approach to multiple testing procedures for sequential (or streaming) data by giving sufficient conditions for a sequential multiple testing procedure to control the familywise error rate (FWER). Together we call these conditions a "rejection principle for sequential tests," which we then apply to some existing sequential multiple testing procedures to give simplified unde...