Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
EURASIP Journal on Wireless Communications and Networking
Joint source-channel turbo coding for binary Markov sources
IEEE Transactions on Wireless Communications
Unveiling turbo codes: some results on parallel concatenated coding schemes
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Low-density parity-check matrices for coding of correlated sources
IEEE Transactions on Information Theory
Interleaver design for turbo codes
IEEE Journal on Selected Areas in Communications
LDPC-Based Iterative Joint Source-Channel Decoding for JPEG2000
IEEE Transactions on Image Processing
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In this article we focus on the channel decoding problem in presence of a-priori information. In particular, assuming that the a-priori information reliability is not perfectly estimated at the receiver, we derive a novel analytical framework for evaluating the decoder's performance. It is derived the important result that a "good code", i.e., a code which allows to fully exploit the potential benefit of a-priori information, must associate information sequences with high Hamming distances to codewords with low Hamming distances. Basing on the proposed analysis, we analyze the performance of random codes and turbo codes.