scholarly journals Blind deconvolution of two-dimensional complex data

1994 ◽  
Author(s):  
D.C. Ghiglia ◽  
L.A. Romero
Author(s):  
Elena Bianchini ◽  
Sandra Sicurella

The advent of the GIS technology has revolutionized the traditional field of information and cartographic production. The GIS, indeed, enables the management of much more numerous and more complex data and it is able to overcome the static and the traditional two-dimensional cartography. The Geographic Information Systems (GIS), which is used in various fields and disciplines, also represents a valuable tool for investigation in the university research. In criminology in particular, it has facilitated, regarding the city of Bologna, a kind of crime mapping on the nature of the so called “petty crimes” within the jurisdiction of the criminal Justice of the Peace, and the creation of a city’s map on which have been identified support centers for victims operating in them. The use of GIS software is the basis in order to realize and put into practice not only operational measures designed to combat and to prevent crime, but it is also of help to social control measures, to public policy and to security. To the end of ensuring public safety, nowadays, it is essential to have a clear, spatial, and graphic representation of the high concentrations of crime areas and of the degraded ones, in which there is a greater likelihood that some type of crime is committed.


2017 ◽  
Vol 25 (5) ◽  
pp. 5133 ◽  
Author(s):  
Qian Yin ◽  
Ping Guo ◽  
Hanli Liu ◽  
Xin Zheng

2003 ◽  
Vol 57 (8) ◽  
pp. 996-1006 ◽  
Author(s):  
Slobodan Šašić ◽  
Yukihiro Ozaki

In this paper we report two new developments in two-dimensional (2D) correlation spectroscopy; one is the combination of the moving window concept with 2D spectroscopy to facilitate the analysis of complex data sets, and the other is the definition of the noise level in synchronous/asynchronous maps. A graphical criterion for the latter is also proposed. The combination of the moving window concept with correlation spectra allows one to split a large data matrix into smaller and simpler subsets and to analyze them instead of computing overall correlation. A three-component system that mimics a consecutive chemical reaction is used as a model for the illustration of the two ideas. Both types of correlation matrices, variable–variable and sample–sample, are analyzed, and a very good agreement between the two is met. The proposed innovations enable one to comprehend the complexity of the data to be analyzed by 2D spectroscopy and thus to avoid the risks of over-interpretation, liable to occur whenever improper caution about the number of coexisting species in the system is taken.


2017 ◽  
Vol 50 (3) ◽  
pp. 959-966 ◽  
Author(s):  
J. Filik ◽  
A. W. Ashton ◽  
P. C. Y. Chang ◽  
P. A. Chater ◽  
S. J. Day ◽  
...  

A software package for the calibration and processing of powder X-ray diffraction and small-angle X-ray scattering data is presented. It provides a multitude of data processing and visualization tools as well as a command-line scripting interface for on-the-fly processing and the incorporation of complex data treatment tasks. Customizable processing chains permit the execution of many data processing steps to convert a single image or a batch of raw two-dimensional data into meaningful data and one-dimensional diffractograms. The processed data files contain the full data provenance of each process applied to the data. The calibration routines can run automatically even for high energies and also for large detector tilt angles. Some of the functionalities are highlighted by specific use cases.


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