Journal of Computers, Vol 1, No 6 (2006), 1-10, Sep 2006
doi:10.4304/jcp.1.6.1-10

Compression of Short Text on Embedded Systems

Stephan Rein, Clemens Gühmann, Frank Fitzek

Abstract


The paper details a scheme for lossless compression of short data series larger than 50 Bytes. The method uses arithmetic coding and context modeling with a low-complexity data model. A data model that takes 32 kBytes of RAM already cuts the data size in half. The compression scheme just takes a few pages of source code, is scalable in memory size, and may be useful in sensor or cellular networks to spare bandwidth. As we demonstrate the method allows for battery savings when applied to mobile phones.



Keywords


Arithmetic coding; context modeling; prediction by partial matching (PPM); short message compression; embedded system; mobile phone; sensor network

References



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Journal of Computers (JCP, ISSN 1796-203X)

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