Open AccessAn improved wavelet analytical method for studying particle dynamics of the passive layer within a granular drum
Author(s) -
Shihang Mou,
Hui Yang,
Ran Li,
Bi-De Wang,
Qiang Sun,
Ping Kong
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/4/042071
Subject(s) - wavelet , noise (video) , computer science , signal (programming language) , process (computing) , signal processing , pattern recognition (psychology) , dynamics (music) , speech recognition , algorithm , statistics , artificial intelligence , mathematics , acoustics , physics , telecommunications , radar , image (mathematics) , programming language , operating system
In this study, conventional threshold way has many defects, for example, the way of extraction of signal processing for the and experimental statistics depend on several subjective criteria during the analysis process. Therefore, we introduce another new way of using wavelet analysis that can be extracted valid signals from noise. The results of experiment indicate that it can distinguish noise from the signal . Compared with the conventional way, the new method has better statistical distribution map of the and smaller error.