Title :
The traffic data compression and decompression for intelligent traffic systems based on two-dimensional wavelet transformation
Author :
Xiao, Yang ; Xie, Yu-Ming ; Lu, Lingpn ; Gao, Shuang
Author_Institution :
Inst. of lnf. Sci., Beijing Jiaotong Univ., China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
The algorithms of traffic data compression and decompression based on 2-D wavelet transformation technology have been developed. The composition of urban intelligent traffic data and the principle of traffic data compression based on wavelet transformation coding have been given. Good compression and denoise results have been verified by using the algorithms presented in this paper for the traffic data from the 65 measured sections of Beijing´s third-wreath road.
Keywords :
automated highways; data compression; signal denoising; transform coding; wavelet transforms; Beijing third-wreath road; intelligent traffic system; traffic data compression; wavelet transformation coding; Data compression; Detectors; Discrete wavelet transforms; Distortion; Entropy; Intelligent systems; Predistortion; Road vehicles; Sampling methods; Testing;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1442304
