Efficient data compression algorithm for data loggers, measurement equipment and remote data analysis applications

Volume of data acquired during measurements is usually very large in size. In this paper we present compact, yet efficient, data compression algorithm that can be used to significantly reduce storage and telecommunication costs for the above-mentioned applications. The algorithm is lossless, based on the statistical information and can achieve a compression ratio of up to 14:1 on raw binary data. The algorithm has been successfully implemented to compress data from alternative fuel vehicles and photovoltaic systems.