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8 088 (0,108s)

Result

Karhunen-Loéve decomposition of isotropic Gaussian random fields using a tensor approximation of autocovariance kernel

Applications of random fields typically require a generation of random samples or their decomposition. In this contribution, we focus on the decomposition of the isotropic Gaussian random fields on a two or three-dimensional domain....

Statistics and probability

  • 2018
  • D
  • Link
Result

Application of the Karhunen-Loeve decomposition for astronomical data storage, evalvation and photometric and astrometric measurements.

The study evaluates suitability of different integral transforms for scientific image data coding. The Karhunen-Loeve transform has been introduced. As shown this method is more competent for accurate photometric measurements. A convenient c...

BN - Astronomie a nebeská mechanika, astrofyzika

  • 2001
  • D
Result

Application of the Karhunen-Loeve Decomposition for Astronomical Data Storage

Not available...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2001
  • D
Result

Application of the Karhunen-Loeve Decomposition for Astronomical Data Storage

NOT available...

BN - Astronomie a nebeská mechanika, astrofyzika

  • 2000
  • D
Result

Application of the Karhunen-Loeve Decomposition for Astronomical Data Storage

Not available...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2000
  • D
Result

CONSTRUCTION OF RANDOM FIELD BASED ON IMAGE ANALYSIS

The principal challenge in implementation of random fields arises from the need for determination of their correlation/characteristic lengths in the simplest case or more generally their covariance functions. The present contribution is devoted to th...

Composites (including laminates, reinforced plastics, cermets, combined natural and synthetic fibre fabrics; filled composites)

  • 2017
  • D
Result

Image-Based Random Fields in Numerical Modeling of Civil Engineering Problems

of random fields constructed using Karhunen-Loève expansion. The random fields...

Civil engineering

  • 2023
  • O
Result

Effect of BOOTES Image Data Compression using Karhunen-Loeve Decomposition upon Astrometry Measurement Accuracy

Not available...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2003
  • D
Result

Dimensionality reduction in thermal tomography

stimation of material parameters plays an important role in many scientific fields ranging from geophysics, medical imaging, archaeology, material science to the preservation of historical structures. This paper focuses on the civil engineering probl...

Applied mathematics

  • 2019
  • Jimp
  • Link
Result

IMAGE-BASED RANDOM FIELDS IN NUMERICAL MODELING OF HETEROGENEOUS MATERIALS

Modeling of spatial variability using random fields is nowadays standard in computational modeling of heterogeneous materials. The only difficulty remains in determining the input parameters of the random field in order to represent the modeled mater...

Civil engineering

  • 2024
  • D
  • Link
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