A Data Compression Method for Traffic Loop Detectors Signals Based on Lifting Wavelet Transformation and Entropy Coding

摘要：

For the urgent demand of real-time data compression of large scale traffic loop detector system, a novel real-time data compression and reconstruction method combining lifting wavelet transform and hybrid entropy coding is proposed. The signal to be compressed is firstly decomposed with biorthogonali filters based on lifting wavelet transform and the hard-threshold method is then applied to the wavelet coefficients. In order to implement higher efficient compression, a hybrid entropy coding scheme is employed to code the reserved coefficients. This method has been applied to the real-time data acquired from a group of loop detectors. Simulation results indicate that the proposed scheme which combines both lossy and lossless compression techniques can achieve satisfactory compression performance in applications.

关键词： data compression wavelet transform lifting scheme entropy coding detected traffic data

作者: Xiao-fa Shi Lin-lin Liang

作者单位: Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji University Shangh Department of Traffic Engineering Tongji University Shanghai,China

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 129-132

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）