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2010 Data Compression Conference
LDPC Codes for Information Embedding and Lossy Distributed Source Coding
Snowbird, Utah
March 24-March 26
ISBN: 978-0-7695-3994-2
Inspired by our recent work on lossy distributed source coding with side information available at the decoder, we propose a practical scheme for information embedding system with side information available at the encoder. Our proposed scheme is based on sending parity bits using LDPC codes. We provide a design procedure for the LDPC code that guarantees performance close to the Gelfand-Pinsker and Wyner-Ziv limits. Using simulation results, we show that the proposed method performs close to both Wyner-Ziv and Gelfand-Pinsker theoretical limits for even short length codes.
Citation:
Mina Sartipi, "LDPC Codes for Information Embedding and Lossy Distributed Source Coding," dcc, pp.551, 2010 Data Compression Conference, 2010
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