scholarly journals DIGITAL DATA PROCESSING BASED ON WAVELET TRANSFORMS

2021 ◽  
Vol 2 ◽  
pp. 174-180
Author(s):  
Olga Timoshevskaya ◽  
Vladimir Londikov ◽  
Dmitry Andreev ◽  
Victor Samsonenkov ◽  
Tatyana Klets
Keyword(s):  
Data Processing ◽  
Wavelet Transforms ◽  
Wavelet Decomposition ◽  
Digital Data ◽  
Digital Data Processing

The paper focuses on the main theoretical principles and properties of wavelet transforms. The problem of digital data processing based on wavelet transforms is considered. The analysis and processing of signals and functions that are non-stationary in time and inhomogeneous in space are presented. The authors propose methods of progressive coefficients’ values that combine wavelet decomposition and quantization, the main purpose of which is to convey the most important piece of information about a signal. 

scholarly journals The digital data processing concepts of the LOFT mission

2014 ◽  
Author(s):  
C. Tenzer ◽  
A. Argan ◽  
A. Cros ◽  
Y. Favre ◽  
M. Gschwender ◽  
...  
Keyword(s):  
Data Processing ◽  
Digital Data ◽  
Digital Data Processing

Microphotometer Digital Data Processing

1971 ◽  
Vol 11 ◽  
pp. 185-187
Author(s):  
J. B. Hutchings
Keyword(s):  
Data Processing ◽  
Digital Data ◽  
Digital Output ◽  
The Past ◽  
Knowing That ◽  
Important Improvement ◽  
Digital Data Processing ◽  
Programming Systems ◽  
Speed And Accuracy

In the past several years many, if not most, observatory microphotometers have been made or adapted to give digital output. At the same time, astronomers have been faced with the task of specifying exactly all the folk lore and experience necessary to reduce microphotometer output, so that the task can be performed by a computer. In addition to the speed and accuracy gains therefore, we have also been obliged to separate the subjective from the objective in this processing, and this may be the most important improvement of all.Knowing that many other observatories have developed similar programming systems, this paper presumably does not contain much that is startlingly new, but it is hoped that it may promote the exchange of ideas desirable to overcome common difficulties and avoid duplication (or multiplication) of effort.

scholarly journals Susceptibility of surface texture parameters to acquisition point clouds with digital data processing of data from optical measuring systems

2019 ◽  
Vol 252 ◽  
pp. 03020 ◽  
Author(s):  
Emilia Bachtiak-Radka ◽  
Sara Dudzińska ◽  
Daniel Grochała ◽  
Stefan Berczyński
Keyword(s):  
Data Processing ◽  
Surface Texture ◽  
Surface Characteristics ◽  
Point Clouds ◽  
Digital Processing ◽  
Digital Data ◽  
Measuring Systems ◽  
Optical Measuring ◽  
Digital Data Processing ◽  
The Impact

Digital processing of the recorded point clouds on innovative surfaces could facilitate the operator’s planning of the metrological process and give more freedom in the assessment of the surface texture. The current state of knowledge about surface characteristics, precision and quality of measurements and especially the repeatability of measurements – not only in the laboratory environment but also in the industry pose a big challenge. The paper presents research works related to the identification of the impact of the method of acquisition point clouds using digital data processing on surface texture. The main assumption of the paper was to carry out, according to the prepared plan of the experiment, the series of sample measurements with the use of the optical measuring systems AltiSurf A520 in the Laboratory of Surface Topography at the West Pomeranian University of Technology in Szczecin. The next task was to determine the impact of the digital data processing strategy in order to identify the significance of the impact (conditions and methods of filtration), which in practice largely determines the repeatability and reproducibility of the parameter values of the geometry surface structure.

The digital data processing system of the ASTRO-E hard X-ray detector

1999 ◽  
Vol 320 (4-5) ◽  
pp. 377-377 ◽  
Author(s):  
Y. Terada ◽  
M. Tashiro ◽  
T. Takahashi ◽  
Y. Fukazawa ◽  
G. Kawaguchi ◽  
...  
Keyword(s):  
Data Processing ◽  
Processing System ◽  
Digital Data ◽  
Data Processing System ◽  
X Ray ◽  
Digital Data Processing

Time Aliasing: A Digital Data Processing Phenomenon

1983 ◽  
Vol 105 (4) ◽  
pp. 232-237 ◽  
Author(s):  
R. J. Thornhill ◽  
C. C. Smith
Keyword(s):  
Fourier Transform ◽  
Data Processing ◽  
Sampling Theorem ◽  
Digital Data ◽  
Frequency Resolution ◽  
Inverse Discrete Fourier Transform ◽  
Spectral Identification ◽  
Frequency Sampling ◽  
Digital Data Processing ◽  
Identification Techniques

The frequency sampling theorem is developed and interpreted for a function of frequency which was sampled either directly or indirectly by spectral identification techniques. An example of the results of time aliasing when the frequency resolution is too coarse is presented. A generalized window is developed which implements a zoom inverse discrete Fourier transform for avoiding undesirable time aliasing effects.

Memorial

2020 ◽  
Vol 39 (11) ◽  
pp. 839-839
Author(s):  
Enders Robinson ◽  
Tijmen Jan Moser
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Seismic Data ◽  
Digital Data ◽  
Multiple Attenuation ◽  
Digital Data Processing ◽  
Seismic Data Acquisition

Virgil Bardan was known for his contributions to seismic data acquisition and digital data processing related to inversion, sampling, and multiple attenuation. His numerous publications and erudite presentations, in a career that extended for more than 45 years, established him as a leader in exploration geophysics.

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