Results 41 to 50 of about 160 (137)
Polar Codes for Nonasymmetric Slepian-Wolf Coding
, 2012 A method to construct nonasymmetric distributed source coding (DSC) scheme using polar codes which can achieve any point on the dominant face of the Slepian-Wolf (SW) rate region for sources with uniform marginals is considered. In addition to nonasymmetric case, we also discuss and show explicitly how asymmetric and single source compression is done ...
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Asymmetric and nonasymmetric Slepian-Wolf coding with polar codes [PDF]
2012 20th Signal Processing and Communications Applications Conference (SIU), 2012 We consider a nonasymmetric distributed source coding (DSC) scheme invented by Gehrig which can achieve any point on the dominant face of the Slepian-Wolf (SW) rate region for sources with uniform marginals. And we show how to use polar codes in this scheme.We then present simulation results that exhibit the performance of the proposed method.
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Private Key and Decoder Side Information for Secure and Private Source Coding. [PDF]
Entropy (Basel), 2022 Günlü O +3 more
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EURASIP Journal on Wireless Communications and Networking, 2011 This paper focuses on the data fusion scenario where nodes sense and transmit the data generated by a source to a common destination, which estimates the original information from more accurately than in the case of a single sensor.
Crespo PedroM +4 more
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Ensuring data integrity of healthcare information in the era of digital health. [PDF]
Healthc Technol Lett, 2021 Zarour M +8 more
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Self-management experiences of youth following the unexpected loss of a family member to HIV. [PDF]
Health SA, 2022 Hlophe SD, Jooste K.
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Toward Constructive Slepian–Wolf Coding Schemes [PDF]
, 2009 Guillemot, Christine, Roumy, Aline
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The Redundancy of Slepian-Wolf Coding Revisited
, 2013 [Draft] In this paper, the redundancy of Slepian Wolf coding is revisited. Applying the random binning and converse technique in \cite{yang}, the same results in \cite{he} are obtained with much simpler proofs. Moreover, our results reflect more details about the high-order terms of the coding rate.
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Investigation of Energy Cost of Data Compression Algorithms in WSN for IoT Applications. [PDF]
Sensors (Basel), 2022 Mishra M, Sen Gupta G, Gui X.
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