Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
However, if the stochastic Euler scheme is used instead, then the discretized estimation converges to the minimum energy estimation.
Similar(59)
This observation can serve as a guideline to design the experiment in a way that the determined linear capacitance results in the minimum supercapacitor energy estimation error.
Using standard maximum a posteriori to variational formulation rationale, the authors derived a minimum energy formulation for the estimation of a reconstructed sequence as well as motion recovery.
For link distances of about 50 m, our results show that the channel estimation with minimum energy is achieved using two preamble symbols per transmit antenna when the target estimation MSE is −10 dB.
Finding the state d ^ with minimum energy in Equation 1 amounts to the estimation problem with MAP.
Therefore, it is the preferred choice for attaining a given estimation quality (MSE) at minimum energy consumption.
For distances of approximately 120 m, the minimum energy consumption required to achieve the same estimation quality increases tenfold for both algorithms due to path loss.
Figure 5 Minimum energy consumed by the LS and MMSE algorithms, with estimation MSE of −10 dB.
Figure7 shows the minimum energy consumption of each algorithm as a function of the estimation MSE.
Particularly, we study the minimum MSE (MMSE) and least squares (LS) channel estimation algorithms and optimize their respective preambles for minimum energy consumption at a given target MSE.
Figure 7 Minimum energy consumed by the LS and MMSE algorithms versus mean square estimation error for a link distance of 30 m.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com