Title :
Inertial Sensors Random Sequence Pretreatment Using Empirical Mode Decomposition Method
Author :
Qiu-zhao, Zhang ; Shu-bi, Zhang ; Dong-yang, Hou
Abstract :
A new signal analysis technique -- empirical mode decomposition (EMD) method is introduced for removing the trend term of nonstationary random sequence. An inverse sequence method is used to check the effect of EMD method. The experiment indicates that the EMD method can not only eliminate the trend term of nonstationary random sequence, but also improve the normal natures of the nonstationary random sequence.
Keywords :
autoregression model; empirical mode decomposition; inertial sensors; inverse sequence method; nonstationary random sequence;
Conference_Titel :
Multimedia and Signal Processing (CMSP), 2011 International Conference on
Conference_Location :
Guilin, China
Print_ISBN :
978-1-61284-314-8
Electronic_ISBN :
978-1-61284-314-8
DOI :
10.1109/CMSP.2011.139
