TU Berlin

Chair of Electronic Measurement and
Diagnostic Technology

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Publications from the Chair of Electronic Measurement and Diagnostic Technology

Low-complexity compression of short messages
Citation key dcc06
Author Rein, S and Gühmann, C and Fitzek, F
Title of Book proceedings of the IEEE data compression conference
Year 2006
Publisher IEEE Computer Society Press
Abstract We describe a low-complexity scheme for lossless compression of short text messages. The method uses arithmetic coding and a specific statistical context model for prediction of single symbols. Our particular contribution is a simple yet effective approach for storing highly complex statistics in a succinct yet effective data model that can easily be trained by text data. The proposed model already gives good compression rates with a RAM memory size of 128 kByte, thus making lossless data compression with statistical context modeling readily applicable to small devices like wireless sensors or mobile phones.
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