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We consider the former type not only because BCH codes are more efficient decoding algorithms but also consider that the energy efficiency is rather low when apply convolutional codes to sensor networks [18].
Thereby a more efficient decoding is available.
In this paper, we summarized some important approximations that allow for a more efficient decoding of the extended Bayesian network, cf. Subsections 4.5, 4.6, 6.6.1, and 6.7.
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The analytical results show that the CRC-based decoding schemes (SE, SSE) are not better than the TS-based schemes (TSE, STSE) because the TS packet is shorter than the MPE/FEC section and thus more efficient for decoding.
The reason behind this idea is that the parallel decoding is more efficient to decode the reliable symbols separately.
There is a significant difference between synonymous codon usage in many organisms, and it is known that codons used more frequently generally showed efficient decoding rate.
Hence, it is of great interest to have a deeper look at other kinds of codes, structured codes, which are more accessible and lead to efficient decoding algorithms.
More efficient STBC decoding is achieved with the help of orthogonal-triangular (QR) decomposition [7, 18].
Note that more KBs in a frame actually lead to more efficient LDPCA decoding, thanks to the reliable side information contributed by KBs.
To provide a more efficient error correction decoding in an iris-based fuzzy commitment scheme, two-dimensional iterative min-sum decoding was introduced in [28] achieving a FNMR of 5.62 % at a zero FMR on the ICE 2005 iris database [29], where bound keys consist of 40 bits.
This difference between the typical pooled testing scenario and the technology scenario was the basis of several recent works (Erlich et al., 2009; Shental et al., 2010) which suggested more complicated designs that take the specific scenario into account and design more efficient pooling and decoding strategies for identification of rare allele carriers.
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