In the present article we analyze data from two temperature sensors of the Curiosity rover, which has been active in Mars since August 2012. Temperature measurements received from the rover are noisy and must be processed and validated before being delivered to the scientific community. Currently, a simple moving average filter is used to perform signal denoising. The application of this basic algorithm is based on the assumption that the noise is stationary and statistically independent from the underlying structure of the signal, an arguable assumption in this kind of harsh environment.

DOI Link: 
10.21227/ban4-km41
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[1] sofia Zurita, "Denoising Temperature on Martian Surface dataset", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/ban4-km41. Accessed: Sep. 15, 2024.
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doi = {10.21227/ban4-km41},
url = {http://dx.doi.org/10.21227/ban4-km41},
author = {sofia Zurita },
publisher = {IEEE Dataport},
title = {Denoising Temperature on Martian Surface dataset},
year = {2020} }
TY - DATA
T1 - Denoising Temperature on Martian Surface dataset
AU - sofia Zurita
PY - 2020
PB - IEEE Dataport
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sofia Zurita. (2020). Denoising Temperature on Martian Surface dataset. IEEE Dataport. http://dx.doi.org/10.21227/ban4-km41
sofia Zurita, 2020. Denoising Temperature on Martian Surface dataset. Available at: http://dx.doi.org/10.21227/ban4-km41.
sofia Zurita. (2020). "Denoising Temperature on Martian Surface dataset." Web.
1. sofia Zurita. Denoising Temperature on Martian Surface dataset [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/ban4-km41
sofia Zurita. "Denoising Temperature on Martian Surface dataset." doi: 10.21227/ban4-km41