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Turbo Coded Modulation for Unequal Error Protection
IEEE Transactions on Communications, 2008A major concern in designing communication systems is to maintain quality of service for a wide range of channel conditions. This is an important issue particularly for the applications where precise characterization of the channel is impossible. For such applications, the source data can be classified into several classes and Unequal Error Protection (
Masoud Salehi
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On Streaming Codes With Unequal Error Protection
IEEE Journal on Selected Areas in Information Theory, 2021Error control codes for real-time interactive applications such as audio and video streaming must operate under strict delay constraints and be resilient to burst losses. Previous works have characterized optimal streaming codes that guarantee perfect and timely recovery of all source packets when the burst loss is below a certain maximum threshold. In
Mahdi Haghifam +5 more
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Multilevel Codes for Unequal Error Protection
Proceedings. IEEE International Symposium on Information Theory, 1993Summary: In many speech and image coding schemes, some of the coded bits are extremely sensitive to channel errors while some others exhibit very little sensitivity. In order to make the best use of channel redundancy, unequal error protection (UEP) codes are needed. In a bandlimited environment, such coding and the modulation should be integrated. Two
A. Robert Calderbank +1 more
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On linear unequal error protection codes
IEEE Transactions on Information Theory, 1967Summary: The properties of linear codes over \(\mathrm{GF}(q)\) that provide unequal error protection (UEP) of information digits are discussed. A design is proposed for optimal binary systematic linear UEP codes. Broad classes of iterative and concatenated UEP codes are constructed.
Burt Masnick, Jack K. Wolf
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BATS code with unequal error protection
2016 IEEE International Conference on Communication Systems (ICCS), 2016Batched sparse (BATS) coding is a class of sparse random linear network coding scheme that achieves near-optimal tradeoff between temporal coding length and network throughput for file delivery over erasure networks. Existing BATS codes are mostly designed for equal error protection only.
Xiaoli Xu 0001 +3 more
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Information unequal error protection using polar codes
Unequal error protection (UEP) divides the data into different levels of importance in order to ensure that the most important parts of the source information have more protection than the less important parts.
Ammar Hadi +2 more
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Constructive codes with unequal error protection
IEEE Transactions on Information Theory, 1997Summary: An asymptotic lower bound on the rates of two-level binary codes with unequal error protection is presented. The bound is based on a class of codes that are constructive in the sense that the description complexity is polynomial in the codeword length.
Eva K. Englund, A. I. Hansson
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On unequal error protection raptor codes
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2015Raptor codes are the most advanced fountain codes that can provide dynamically changeable code rate and have linear time encoding and decoding. In multimedia communications and different other areas, it is desired that channel codes can provide the property of unequal error protection (UEP).
Hussein Fadhel, Lei Cao 0001
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Design of bandwidth-efficient unequal error protection LDPC codes
This paper presents a strategy for the design of bandwidth-efficient LDPC codes with unequal error protection. Bandwidth efficiency is obtained by appropriately designing the codes for higher order constellations, assuming an AWGN channel.
Sandberg, Sara +4 more
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Unequal error protection codes
8th European Conference on Electrotechnics, Conference Proceedings on Area Communication, 2003A method is presented for constructing nonlinear unequal error protection codes. The method uses linear codes as building blocks, thus allowing simple decoding. Comparisons between some two level UEP codes constructed with this method and the direct sum of codes show that these examples perform better than the direct sum of linear codes. >
K. Granstrom, E. Ottersten
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