Computation of the Minimum Data Storage for Multi-Dimensional Signal Processing

Author(s):  
Ilie I. Luican ◽  
Hongwei Zhu ◽  
Florin Balasa
Author(s):  
A.S. Grishchenko ◽  

The aim of this work is to implement an approach for the synthesis of variable data insertion procedures for structureindependent databases. This approach makes it possible to synthesize procedures for inserting data into databases, in which two types of inhomogeneities will be absent: inhomogeneities associated with various forms of representation of minimal structural units; semantic heterogeneities associated with the use of elements that are semantically heterogeneous to the elements of the structure of a structure-independent database. Due to the absence of these inhomogeneities, the productivity of the procedures will be increased in comparison with the initial one. The approbation is carried out on the example of a structure-independent database based on the Tenzer data model. As a result of the work carried out, the following were obtained: the minimum unit of data storage for the database, built on the basis of the Tenzer model; algorithm of action using the developed minimum data storage unit; procedure code. As the minimum data storage unit, a triple of the form <Object, Property, Value> was chosen, and checking the obtained algorithm of actions showed that all the elements present are homogeneous to the database structure based on the Tenzer data model, which indicates the successful testing of this approach.


2005 ◽  
Vol 41 (4) ◽  
pp. 1333-1339 ◽  
Author(s):  
T. Conway ◽  
R. Conway ◽  
S. Tosi

2001 ◽  
Vol 01 (01) ◽  
pp. 83-91 ◽  
Author(s):  
DAGAN (DAVID) FENG

The recent information explosion has led to massively increased demand for multimedia data storage and retrieval techniques. Content-based retrieval is an important alternative and complement to the traditional keyword-based searching for multimedia data and can greatly enhance information management. For the last ten years, the Biomedical and Multimedia Information Technology (BMIT) Group and recently the Center for Multimedia Signal Processing (CMSP) have conducted systematic studies and research activities on this topic. Some of the works relating to content-based image/video retrieval and their applications are briefly presented in this paper.


2004 ◽  
Vol 4 (3) ◽  
pp. 649-655 ◽  
Author(s):  
A. Pellinen-Wannberg

Abstract. Since the very first meteor observations at EISCAT in December 1990, the experimental method has improved significantly. This is due to a better understanding of the phenomenon and a recent major upgrade of the EISCAT signal processing and data storage capabilities. Now the simultaneous spatial-time resolution is under 100 m-ms class. To illuminate the meteor target for as long as possible and simultaneously get as good altitude resolution as possible, various coding techniques have been used, such as Barker codes and random codes with extremely low side lobe effects. This paper presents some background and the current view of the meteor head echo process at EISCAT as well as the observations which support this view, such as altitude distributions, dual-frequency target sizes and vector velocities. It also presents some preliminary results from recent very high resolution tristatic observations.


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