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This article formulates the concept of a linear error-block code and derives basic results for this kind of code by direct analogy to the classical case.
This means that as Google learns more about mobile malware, it can now check for this kind of code even after you've installed an app.
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The ML decoding of this kind of codes is very similar to the Tensor Decoding Algorithm.
The results in Figure 6 indicate that this kind of coding brings some benefit in both energy and delay in a Rayleigh fast fading channel; however, it introduces more energy and delay in AWGN and Rayleigh block fading channels.
Since this kind of coding is inevitably shaped by pre-existing ways of conceptualizing the literature, both in the design and application of the codes, we also conducted an automated analysis to reveal clusters of co-citing papers.
Without knowing the causing mechanism this kind of coding could arise doubts whether one of the codes is invalid.
Even though this kind of coding is confined to DNA data, corresponding state recoding is possible with each kind of qualitative data; for instance, in the NEXUS standard as used by PAUP* [ 32], "Y" is just a placeholder for "{CT}".
And the kind of code Bunk is talking about requires more than book-learning and test-taking to develop.
In this paper, a kind of short particle code is proposed by taking advantage of the low heterozygous frequencies of single nucleotide polymorphisms (SNPs), and a practical particle swarm optimization algorithm P-MEC based on this kind of particle code is presented.
Moreover, this kind of short particle code makes P-MEC algorithm efficient even for reconstructing long haplotypes.
The PSO algorithm based on this kind of long particle code cannot obtain high reconstruction rate efficiently.
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