LOS/NLOS Identification for Indoor UWB Positioning Based on Morlet Wavelet Transform and Convolutional Neural Networks

2020 ◽  
pp. 1-1
Author(s):  
Zhichao Cui ◽  
Yufang Gao ◽  
Jing Hu ◽  
Shiwei Tian ◽  
Jian Cheng
Keyword(s):  
Neural Networks ◽  
Wavelet Transform ◽  
Convolutional Neural Networks ◽  
Morlet Wavelet ◽  
Morlet Wavelet Transform

339 Morlet wavelet transform in EEG during perceptuo-motor tasks

1998 ◽  
Vol 30 (1-2) ◽  
pp. 131-132
Author(s):  
S. Slobounovl ◽  
R. Tutwiler ◽  
E. Slobounova
Keyword(s):  
Wavelet Transform ◽  
Morlet Wavelet ◽  
Motor Tasks ◽  
Morlet Wavelet Transform

scholarly journals A study on Electron Oscillations in the Magnetosheath of Mars with Mars Express observations

2016 ◽  
Vol 12 (S328) ◽  
pp. 230-232
Author(s):  
Adriane M. de Souza ◽  
Ezequiel Echer ◽  
Mauricio J. A. Bolzam ◽  
Markus Fränz
Keyword(s):  
Wavelet Transform ◽  
Electron Density ◽  
Low Frequency ◽  
Morlet Wavelet ◽  
Space Plasmas ◽  
Density Data ◽  
Mars Express ◽  
Preliminary Study ◽  
Morlet Wavelet Transform ◽  
Low Frequency Waves

AbstractWavelet analysis was employed to identify the major frequencies of low-frequency waves present in the Martian magnetosheath. The Morlet wavelet transform was selected and applied to the electron density data, obtained from the Analyzer of Space Plasmas and Energetic Atoms experiment (ASPERA-3), onboard the Mars Express (MEX) spacecraft. We have selected magnetosheath crossings and analyzed electron density data. From a preliminary study of 502 magnetosheath crossings (observed during the year of 2005), we have found 1409 periods between 0.005 and 0.06Hz. The major frequencies observed were in the range 0.005-0.02 Hz with 58.5% of the 1409 frequencies identified.

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