Zigzag-Coded Modulation for High-Speed Fiber Optical Channels

Kahveci, Salim; Gong, Chen; Xiao-dong, Wang

doi:10.1364/jocn.4.000382

Cited by 6 publications

(7 citation statements)

References 13 publications

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“…After the sorted original data matrix transformed by 2D-DCT, the zigzag scan [17] will be implemented on the transformed matrix. Zigzag scan method and adaptive spatial compression algorithm (ASCA) are two components of DS-ASCS.…”

Section: Data Sorting-based Adaptive Spatial Compression Schemementioning

confidence: 99%

Data Sorting-based Adaptive Spatial Compression in Wireless Sensor Networks

2016

KSII TIIS

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Wireless sensor networks (WSNs) provide a promising approach to monitor the physical environments, to prolong the network lifetime by exploiting the mutual correlation among sensor readings has become a research focus. In this paper, we design a hierarchical network framework which guarantees layered-compression. Meanwhile, a data sorting-based adaptive spatial compression scheme (DS-ASCS) is proposed to explore the spatial correlation among signals. The proposed scheme reduces the amount of data transmissions and alleviates the network congestion. It also obtains high compression performance by sorting original sensor readings and selectively discarding the small coefficients in transformed matrix. Moreover, the compression ratio of this scheme varies according to the correlation among signals and the value of adaptive threshold, so the proposed scheme is adaptive to various deploying environments. Finally, the simulation results show that the energy of sorted data is more concentrated than the unsorted data, and the proposed scheme achieves higher reconstruction precision and compression ratio as compared with other spatial compression schemes.

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Section: Data Sorting-based Adaptive Spatial Compression Schemementioning

confidence: 99%

Data Sorting-based Adaptive Spatial Compression in Wireless Sensor Networks

2016

KSII TIIS

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“…The rate corresponding to the left-hand side (LHS) of (14) can be approached by the multistage successive decoding corresponding to the right-hand side (RHS), in which in 1st stage, the bits X 1 are decoded by treating all other bits as random bits; and then at the ith stage the bits X i are decoded using the decoded bits fX j g 0rjriÀ1 and by treating the bits fX j g iþ1rjrL as random bits.…”

Section: Multi-level Zigzag-coded Modulation For Non-gray Mappingmentioning

confidence: 99%

“…(18)], or the spectrum rate R S ¼ P L i ¼ 1 a i R, we propose a rate allocation scheme which optimizes the performance of the worst component code based on the MI chain rule (14).…”

Section: Rate Allocation Based On Mutual Informationmentioning

confidence: 99%

“…Note that in the chain rule (14) each term in the RHS is an increasing function of the channel SNR denoted as g. Define…”

Section: Problem Formulationmentioning

confidence: 99%

“…For the average code rate R ¼ 0:7, the SNR g ¼ 6 dB, and thus the rates allocated to the two component codes R 1 and R 2 are 0.5 and 0.8, respectively. See [14] for further information about how the system parameters involved can be classified as the modulation parameters and the code parameters.…”

Section: Solution Using Code Rate Chartmentioning

confidence: 99%

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