Digital modulation and coding
Compression with Side Information Using Turbo Codes
DCC '02 Proceedings of the Data Compression Conference
Design of capacity-approaching irregular low-density parity-check codes
IEEE Transactions on Information Theory
Distributed source coding using syndromes (DISCUS): design and construction
IEEE Transactions on Information Theory
Nonuniform error correction using low-density parity-check codes
IEEE Transactions on Information Theory
Rateless Codes With Unequal Error Protection Property
IEEE Transactions on Information Theory
Wireless image transmission using turbo codes and optimal unequal error protection
IEEE Transactions on Image Processing
Non-uniform LDPC for multi-bitplane in distributed video coding
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
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In this paper, we will discuss the unequal error protection (UEP) problem in distributed source coding (DSC) which has been studied and proved to be efficient for scattered applications, especially for wireless sensor networks (WSN). For WSN, non-uniform noise distribution should fall into our consideration when coding and decoding, resulting in UEP problem for source sequence. Using linear-programming approach for non-uniform Low-density parity-check (LDPC) code, we can easily get the optimal degree distribution for parity check matrix. So different parts of source sequence fed into distinct channels can be separately protected. We propose a simpler structure of DSC for pairs of correlated sources based on syndrome (DISCUS) [1], and also consider the rate adaptive property of non-uniform LDPC code. Reasonable coding rates are generated for different channel conditions by changing the maximum variable node degree and one threshold we proposed in the algorithm, which is defined as the probability of setting sub-degree distributions as non-zero number. Simulation results show a beneficial effect based on the assumption that the crossover probability or mean square error is known.