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FPGA-Based Modelling Unit for High Speed Lossless Arithmetic Coding

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Field-Programmable Logic and Applications (FPL 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2147))

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Abstract

This paper presents a hardware implementation of an adaptive modelling unit for parallel binary arithmetic coding. The presented model combines the advantages of binary arithmetic coding where the coding process is simplified, with the benefits of multi-alphabet arithmetic coding where any type of data can be compressed. The modelling unit adopts a simple method to store and modify the information, making it able to process 8 bits per clock cycle and to increase substantially the arithmetic coding speed. This model has been implemented in an A500K130 ProASIC FPGA and offers a throughput of 256 Mbits/s.

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References

  1. M. Nelson: The Data Compression Book, Prentice Hall (1991)

    Google Scholar 

  2. I.H. Witten et al: Arithmetic Coding for Data Compression, Communications of the ACM, Vol. 30, No. 6, (1987), pp. 520–540

    Article  Google Scholar 

  3. J. Jiang.: Novel Design of Arithmetic Coding for Data Compression, IEE Proceedings Computers and Digital Techniques, Vol. 142, No. 6, (1995),pp. 419–424

    Article  Google Scholar 

  4. K. M. Marks: A JBIG-ABIC Compression Engine for Digital Document Processing, IBM Journal of Research and Development, Vol. 42, No. 6, (1998), pp. 753–758

    Article  Google Scholar 

  5. S. Kuang, J. Jou, Y. Chen: The Design of an Adaptive On-Line Binary Arithmetic Coding Chip, IEEE TCAS-I, Vol. 45, No. 7, (1998), pp. 693–706

    Google Scholar 

  6. S. Mahapatra, J. L. Núñez, C. Feregrino-Uribe and S. Jones: Parallel Implementation of a Multialphabet Arithmetic Coding Algorithm, IEE Colloquium on Data Compression: Methods and Implementations, IEE Savoy Place, London, (1999)

    Google Scholar 

  7. A. Moffat: Linear Time Adaptive Arithmetic Coding, IEEE Transaction on Information Theory, Vol. 36, No. 2, (1990), pp. 401–406

    Article  MATH  MathSciNet  Google Scholar 

  8. R. Arnold, T. Bell: A Corpus for the Evaluation of Lossless Compression Algorithms, Data Compression Conference,(1997), pp. 201–210

    Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Stefo, R., Núñez, J.L., Feregrino, C., Mahapatra, S., Jones, S. (2001). FPGA-Based Modelling Unit for High Speed Lossless Arithmetic Coding. In: Brebner, G., Woods, R. (eds) Field-Programmable Logic and Applications. FPL 2001. Lecture Notes in Computer Science, vol 2147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44687-7_71

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  • DOI: https://doi.org/10.1007/3-540-44687-7_71

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42499-4

  • Online ISBN: 978-3-540-44687-3

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