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The validation of the model using Envisat satellite altimetric data gives a maximum temporal correlation coefficient of 0.96 and a minimum RMSe of 4.39 cm between altimetric observations and model predictions, respectively.
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Hence, the maximum achievable diversity for ST-coded MIMO system with temporal correlation is given by begin{array}rcl@ text{rank}left({{{boldsymbol R}}} right) = {N_{r}}{N_{t}}{text{rank}left({{{boldsymbol R}^{boldsymbol K} }} right)}, end{array} (74).
The temporal correlation coefficient between altimetric NSLs and tide gauge data reaches a maximum higher than 90% for each gauge.
We could increase the temporal correlation lags used in our approach in order to improve the maximum DS estimation accuracy especially for high ωD values, but this would increase the overall complexity as well.
No, it couldn't be mistaken attribution of causation Born of a coincidental temporal correlation.
"There's a temporal correlation".
They usually exhibit a temporal correlation.
T n is the maximum temporal level.
Improvement achieved for higher temporal correlation is almost negligible for temporal correlation factors higher than 0.99.
This result implies that an upper bound on the maximum diversity is the sum of the maximum diversities in each separated path, and the maximum diversities in each path are affected by the spatial correlation of the links between the transmitter and the receiver across different paths and the channel temporal correlation.
depending on their temporal correlation ρ k B ( i, j ).
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