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Algorithms for Source Coding

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Coding and Complexity

Part of the book series: International Centre for Mechanical Sciences ((CISM,volume 216))

Abstract

Consider an information source whose outputs are independent identically distributed random variables (i.i.d. r.v.s) taking values in the finite set or alphabet Jc = {0, 1,..., c−1}; a coding alphabet Jd = {0, 1,..., d−1}; and a noiseless transmission medium, or channel, that accepts letters from Jd as inputs and delivers them to the destination without any change (see figure 1).

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References

  1. Jelinek, F.: Probabilistic Information Theory, McGraw-Hill, 1968.

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  2. Jelinek, F.: “Buffer Overflow in Variable Length Coding of Fixed Rate Sources”, IEEE Trans. Inform. Theory, IT-14(3), May 1968.

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  4. Huffman, D.A.: “A Method of Construction of Minimum Redundancy Codes”, Proc. IRE, 40 (10), Sept. 1962.

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  5. Gallager, R.G.: Information Theory and Reliable Communication, J. Wiley and Sons, 1968.

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  6. Tunstall, A.: “Synthesis of Noiseless Compression Codes”, Ph.D. dissertation, Georgia Inst. Technol., Atlanta, 1968.

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  7. Shannon, C.E.: “A Mathematical Theory of Communication”, Bell Systems Tech.J., 27, p. 379 and 623, 1948.

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  8. Longo, G.: “Source Coding Theory” CISM Courses and Lectures, No. 32, Springer, 1970.

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  9. Elias, P.: unpublished result.

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  10. Schalkwijk, J.P.: “An Algorithm for Source Coding”, IEEE Trans. Inform. Theory, IT-18(3), May 1972.

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© 1975 Springer-Verlag Wien

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Jelinek, F., Longo, G. (1975). Algorithms for Source Coding. In: Longo, G. (eds) Coding and Complexity. International Centre for Mechanical Sciences, vol 216. Springer, Vienna. https://doi.org/10.1007/978-3-7091-3008-7_9

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  • DOI: https://doi.org/10.1007/978-3-7091-3008-7_9

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-81341-6

  • Online ISBN: 978-3-7091-3008-7

  • eBook Packages: Springer Book Archive

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