Sampling - Reconstruction Procedure of Gaussian Fields Procedimiento para el Muestreo y Reconstrucción de Campos Gausianos
Fuente:
Redalyc
Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Instituto Politécnico Nacional
2006
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1876489905564024832 |
|---|---|
| author | Sviatoslav Afrikanov |
| author_facet | Sviatoslav Afrikanov |
| contents | Sampling - Reconstruction Procedure of Gaussian Fields Procedimiento para el Muestreo y Reconstrucción de Campos Gausianos Sviatoslav Afrikanov Vladimir Kazakov Computación Gaussian Fields Uniform and Non Uniform Sampling Reconstruction Functions Reconstruction Error Functions The description of the optimal Sampling Reconstruction Procedure (SRP) of Gaussian fields is given on the basis of the conditional mean rule when the quantity of samples is limited. The Gaussian fields are described by two types of space covariance function: exponential and Gaussian. A lot of both reconstruction and reconstruction error surfaces are obtained by numerical calculation. We changed the type of the covariance functions; the type of sampling (uniform: triangular, square, etc. and non uniform: polar, spiral, and arbitrary); the quantity of the samples; the distances between the samples; and radii of the covariance functions of both axes. We demonstrate how all above mentioned factors influence on principal optimal SRP characteristics. The results of the calculations have clear interpretations. 2006 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61590304 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.9 |
| format | Artículo científico |
| id | redalyc_61590304 |
| institution | Redalyc |
| language | en |
| publishDate | 2006 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Sampling - Reconstruction Procedure of Gaussian Fields Procedimiento para el Muestreo y Reconstrucción de Campos Gausianos Sviatoslav Afrikanov Computación Gaussian Fields Uniform and Non Uniform Sampling Reconstruction Functions Reconstruction Error Functions Sampling - Reconstruction Procedure of Gaussian Fields Procedimiento para el Muestreo y Reconstrucción de Campos Gausianos Sviatoslav Afrikanov Vladimir Kazakov Computación Gaussian Fields Uniform and Non Uniform Sampling Reconstruction Functions Reconstruction Error Functions The description of the optimal Sampling Reconstruction Procedure (SRP) of Gaussian fields is given on the basis of the conditional mean rule when the quantity of samples is limited. The Gaussian fields are described by two types of space covariance function: exponential and Gaussian. A lot of both reconstruction and reconstruction error surfaces are obtained by numerical calculation. We changed the type of the covariance functions; the type of sampling (uniform: triangular, square, etc. and non uniform: polar, spiral, and arbitrary); the quantity of the samples; the distances between the samples; and radii of the covariance functions of both axes. We demonstrate how all above mentioned factors influence on principal optimal SRP characteristics. The results of the calculations have clear interpretations. 2006 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61590304 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.9 |
| title | Sampling - Reconstruction Procedure of Gaussian Fields Procedimiento para el Muestreo y Reconstrucción de Campos Gausianos |
| topic | Computación Gaussian Fields Uniform and Non Uniform Sampling Reconstruction Functions Reconstruction Error Functions |
| url | https://www.redalyc.org/articulo.oa?id=61590304 |