A Wavelet-Based Data Compression Algorithm for Bridge Vibration

摘要：

　　To solve the existing problems of the traditional bridge vibration (BV) data compression methods,on the basis of deep analysis for the wavelet transform (WT),a method of wavelet transform combined with LZW coding is proposed in this paper.In accordance with the characteristics of the bridge vibration data and the properties of wavelet transform-based multiresolution analysis,Donoho threshold compression algorithm is adopted to quantify the high-frequency decomposed components.Then the bridge vibration data are compressed with the improved LZW coding.To justify the proposed method,several groups of actual sampling data are simulated.The results indicate that the data compression based on the combination of LZW and WT can effectively improve the compression ratio.The energy recovery proportion is higher than 0.9999,and the compression ratio is better than 10.8.

关键词： Data compression LZW Wavelet Transform Mallat Algorithm Donoho threshold algorithm Bridge vibration

作者: Zhang Feng-yuan Yang Dong Gong Xu-yan Zou Jia LAN Li

作者单位: Beijing University of Chemical Technology Beijing 100029, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 432-439

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）