The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
Code Design for Dependable Systems: Theory and Practical Application
Code Design for Dependable Systems: Theory and Practical Application
LDGM codes for channel coding and joint source-channel coding of correlated sources
EURASIP Journal on Applied Signal Processing
Good error-correcting codes based on very sparse matrices
IEEE Transactions on Information Theory
Design of capacity-approaching irregular low-density parity-check codes
IEEE Transactions on Information Theory
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Secure arithmetic coding with error detection capability
EURASIP Journal on Information Security
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This paper proposes a joint coding with three functions: source coding, channel coding, and public-key encryption. A codeword is simply generated as a product of an encoding matrix and a sparse information word. This encoding method has much lower encoding complexity than the conventional coding techniques in which source coding, encryption, and channel coding are successively applied to an information word. The encoding matrix is generated by using two linear error control codes and randomly generated nonsingular matrices. Encryption is based on the intractableness of factorizing a matrix into randomly constructed factor matrices, and of decoding an error control code defined by a random parity-check matrix. Evaluation shows that the proposed joint coding gives a lower bit error rate and a superior compression ratio than the conventional codings.