Your English writing platform
Discover LudwigExact(3)
Raptor codes are a computationally efficient implementation of fountain codes that achieve close to ideal performance.
While dependable concentration observations, as represented by our LBM dispersion simulations with mild sensor noise in this evaluation, leads to ideal performance characteristics, the probability of detection at reasonable numbers of deployed sensors needs to be higher.
Given this model, we could then compare human performance to ideal performance maximizing expected gain.
Similar(57)
The questionnaire consisted of 6 questions relating to the ideal performance of a specialist lecturing to family physicians.
Listening to an ideal performance of this bleak rumination from the end of Shostakovich's life should feel like eavesdropping.
SCMA outperforms TDMA, and its performance is very close to the ideal performance bound.
The performance of SCMA is very close to the ideal performance bound.
Raptor codes [11] are a form of fountain code that operate close to the ideal performance bound.
We see that the wireless resources are fairly allocated to the 12 flows, but SCMA achieves much higher throughput than TDMA and its performance is very close to the ideal performance upper bound.
The major finding of this work is that even in the presence of oblivious BSs (that is, BSs with no information about the codebooks) multicell processing is able to provide ideal performance with relatively small backhaul capacities, unless the application of interest requires high data rate (i.e., high SNR) and the backhaul capacity is not allowed to increase with the SNR.
For a spreading gain of 128 systems, the CDD system can support K=40 user communications simultaneously without the mutual interference; this load is promising since the linear Minimum Mean Square Estimator (MMSE) multiuser detector with a much higher complexity can only support to K=40 to achieve an ideal performance.
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