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Shannon illustrated a technique for improving the performance of codes at the cost of complicating the encoding and decoding.
Interestingly, they anyhow show performance which is almost comparable to the performance of codes optimized through a more complex non-linear optimization algorithm.
However, further research is necessary to investigate the performance of codes designed using both approaches in terms of the diversity-multiplexing trade-off at finite SNR.
Although the proposed code design is based on a low-complexity linear programming algorithm, its performance is close to the performance of codes proposed in [3] being optimized by the more complex differential evolution algorithm and using much longer codewords.
Figure 4 shows the performance of codes of length constructed by three different algorithms: the random construction, only avoiding cycles of length 4, the PEG construction algorithm, and the PEG-ACE construction algorithm.
We have shown the excellent performance of codes for the classification of Pol2-bound enhancers and promoters.
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The performance of code converter is 44.81%.
In practice, the performance of coded hierarchical modulation systems is of more practical interest.
We mathematically analyzed the performance of coded ALOHA in terms of throughput and delay.
We study the effect of interference on the performance of coded FHSS systems.
An improved understanding of the nonstructural seismic performance of code-compliant buildings is therefore needed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com