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Experiments conducted with simulation software indicate that the multi-agent framework attains performance comparable to conventional control.
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The approach, we propose, applies to irregular samples without additional difficulty and attains performances close to the Cramer-Rao bound for quite reasonable computational costs.
Our Gaussian mixture smoother in the degenerate case, where the channel estimation is performed with only Gaussian per discrete ISI state, is clearly outperformed by the proposed algorithm with, which attains performances close to perfect channel state information (CSI).
We show with simulations that with moderate number of pilot blocks, the proposed receiver attains performances close to the full CP or AWGN bounds even in the case of no CP.
We show by simulation results that the proposed FD receiver attains performances close to that of the full CP case in both line-of-sight (LOS) and non-line-of-sight (NLOS) UWB channels after only a few iterations.
We see that the all-optical perceptron's performance is comparable to GDA's performance for this problem and both algorithms attain performance close to the theoretical optimum.
In addition, the light weight and small footprint of the units enable non-standard detector configurations and system architectures to attain performance improvements.
Many of those parameters have a great impact not only on the precision of the solution but also on the overall attained performance.
Here, we have tackled fast summation algorithms (fast multipole method and fast Gauss transform), and applied algorithmic redesign for attaining performance on gpus.
The three methods employing a BP detector handily outperform the LMMSE equalizer, and the greedy tap selection approach is able to attain performance nearly equal to the optimal combinatorial method.
The conducted experimental evaluation shows significant gains in terms of the attained performance and energy efficiency when considering both highly parallel and data dependent applications, achieving peak power dissipation and energy consumption reductions as high as 54% and 45%, respectively.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com