10.361 a 10.370 de 14.014 Resultados
3 nov 2021 - Grupo de Comunicaciones (GCOM)
López Morales, Manuel José, 2021, "Matlab Figures of the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM"", https://doi.org/10.21950/DM47HJ, e-cienciaDatos, V1
The dataset contains all the figures present in the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM" in .fig format, so they can be opened and used for comparison purposes. |
3 nov 2021 -
Matlab Figures of the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM"
Figura MATLAB - 40,5 KB -
MD5: 64ae402e332469a6422af21cc05624eb
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3 nov 2021 -
Matlab Figures of the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM"
Figura MATLAB - 69,8 KB -
MD5: db3df04ea401133f418c87177a9f6f1f
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3 nov 2021 -
Matlab Figures of the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM"
Figura MATLAB - 41,3 KB -
MD5: ea95e73edff5f218a4dfc1265b6d10b4
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3 nov 2021 -
Matlab Figures of the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM"
Figura MATLAB - 32,9 KB -
MD5: 7aaf0152322f18bf4b0c642ac0220d82
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3 nov 2021 -
Matlab Figures of the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM"
Texto plano - 3,5 KB -
MD5: 8c550d5e30ad6a642d2a5e96832e84f8
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2 nov 2021 - Universidad Politécnica de Madrid
Rubio-Cuadrado, Álvaro; Camarero Martínez, Jesús Julio; Bosela, Michal, 2021, "Introducing climwin package of R to dendrochronologists", https://doi.org/10.21950/IYFSJB, e-cienciaDatos, V1
R scripts showing how to use climwin package with tree-ring width and anatomy chronologies. The databases needed to use the scripts are included. -------------------------- FILES -------------------------- 1. climwin with dendro and anatomy.R R script in which climwin is used to... |
Archivo Gzip - 2,4 MB -
MD5: 9b1f122353d3772e26f90e88b0920747
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Sintasis R - 3,6 KB -
MD5: 1394507a17b4a7b2eb9f64d9d8b9fdaa
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Sintasis R - 2,8 KB -
MD5: 59a8fe26090e8e0a8bb609f105726fcb
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