@ARTICLE{Qing-Zhe_Zhang_Signal_2014,
 author={Qing-Zhe, Zhang and Bing, Yan and Jing-Liang, Dai and Bao-Gui, Yang},
 number={No 2},
 journal={Archives of Civil Engineering},
 pages={257-268},
 howpublished={online},
 year={2014},
 publisher={WARSAW UNIVERSITY OF TECHNOLOGY FACULTY OF CIVIL ENGINEERING and COMMITTEE FOR CIVIL ENGINEERING POLISH ACADEMY OF SCIENCES},
 abstract={The paper presented the wavelet transform method for de-noising and singularity detection to soil compressive stress signal. The study results show that the reconstruction signals by the wavelet de-noising keeps the low frequency component at [0, 31.25 Hz] of the original signal and improves the high frequency property at other frequency bands. The impaction time from the start time to resonance time of the stress signals is varies with the depth of the soil. With the increase of times of compaction, the impaction time of the stress is decreasing in every layer. But the speed of reaching compacted status in each layer is different.},
 type={Artykuły / Articles},
 title={Signal analysis on soil stress from vibrating compactionbased on wavelet transform},
 URL={http://www.journals.pan.pl/Content/83954/mainfile.pdf},
 keywords={soil, Compressive Stress Signal, wavelet transform, De-Noising, Singularity Detection},
}