Brazilian meteorological temperature and United States meteorological temperature data sets

Citation Author(s):
Marcelo Jorge Mendes
Spelta
Submitted by:
Haiquan Zhao
Last updated:
Wed, 11/08/2023 - 01:39
DOI:
10.21227/cyx8-2d57
License:
Creative Commons Attribution
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Categories:
Signal Processing
Keywords:
graph signal processing, Brazilian temperature dataset, United States temperature dataset
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Abstract 

This dataset image is based on the monthly average temperatures collected at 299 stations of the Brazilian Meteorological Temperature Dataset. Each station in the dataset image is linked to the eight nearest stations in its vicinity. Based on the data in the Brazilian temperature dataset, we draw a graph with node numbers N = 299 and K = 8. The graph is drawn with July data in the dataset, as shown in Fig. 1. The signal value on the graph is simulated by color, and the scale with color is located on the right side of the simulation diagram. To facilitate processing, we select the most similar 200 data in the frequency domain of the July graph signal as the spectrally sparse value F. The sampling set |S| = 210 is obtained by the same greedy sampling method as the literature [2]. The UF can be obtained by crossing out the corresponding part that does not belong to the F set after F is determined. In this section, we use the July signal as a static graph signal for the onlinereconstruction of the graph sampling signal

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Instructions: 

This dataset contains two datasets constructed from meteorological temperatures collected at weather stations in Brazil and the United States. There are four folders in the zip file, the first one contains the matlab program to generate the graphical signal data based on the Brazilian meteorological temperature data and its graphical signal images, and the second folder contains the comparison of the GSP LMS algorithm, the GSP NLMS algorithm, the GSP RLS algorithm, and its simulation results. The third folder is the matlab program to generate graph signal data based on US meteorological temperature data and its graph signal images, and the fourth file is the comparison of the related algorithms and their simulation results

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File Description of the procedure.pdf46.48 KB

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