LZW algorithm is adopted in this paper to compress the bridge vibration data. Based on the data structure of chained lists, an improved version of the algorithm, in which a new method called forward-moving on frequently-used entries is applied, is implemented and optimized. It can be drawn that using the above-mentioned method can effectively improve the searching speed and save compression time. In addition, optimizing the location of forward-moved frequently-used entries and selecting the appropriate statistical frequency have better optimization effects. Finally, implemented with C language, the algorithm is proved to have high compression efficiency with less time cost in the practical compression of bridge vibration data. © 2011 Published by Elsevier Ltd.
Zhang, F., Li, Z., Wen, M. C. L., Jia, X., & Chen, C. (2011). Implementation and optimization of LZW compression algorithm based on bridge vibration data. In Procedia Engineering (Vol. 15, pp. 1570–1574). https://doi.org/10.1016/j.proeng.2011.08.292