A Novel Authentication Signal Component for Codeless Correlation

2019 ◽  
Author(s):  
E. Gkougkas ◽  
M. Arizabaleta ◽  
T. Pany ◽  
B. Eissfeller
Keyword(s):  
Signal Component

scholarly journals Analysis of the Dominant Signal Component of the Air-Ground Channel Based on Measurement Data at C-Band

2021 ◽  
pp. 1-1
Author(s):  
Daniel Maximilian Mielke ◽  
Nicolas Schneckenburger ◽  
Uwe Carsten Fiebig ◽  
Michael Walter ◽  
Miguel Angel Bellido-Manganell
Keyword(s):  
Measurement Data ◽  
Signal Component

scholarly journals Characterizing near-surface firn using the scattered signal component of the glacier surface return from airborne radio-echo sounding

2016 ◽  
Vol 43 (24) ◽  
pp. 12,502-12,510 ◽  
Author(s):  
Anja Rutishauser ◽  
Cyril Grima ◽  
Martin Sharp ◽  
Donald D. Blankenship ◽  
Duncan A. Young ◽  
...  
Keyword(s):  
Scattered Signal ◽  
Glacier Surface ◽  
Near Surface ◽  
Signal Component ◽  
Radio Echo Sounding ◽  
Echo Sounding

scholarly journals Prognostic value of hedgehog signal component expressions in hepatoblastoma patients

2010 ◽  
Vol 15 (11) ◽  
Author(s):  
Ying-Cun Li ◽  
Yu-Hua Deng ◽  
Zhen-Hua Guo ◽  
Ming-Man Zhang ◽  
Jin Zhu ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Signal Component ◽  
Hedgehog Signal

Pattern Changes of Time-Shifted Vibration Signals on Wavelet Time-Scale Maps

1995 ◽  
Author(s):  
Da Jun Chen ◽  
Wei Ji Wang
Keyword(s):  
Wavelet Transform ◽  
Time Scale ◽  
Wavelet Transforms ◽  
Vibration Signal ◽  
Continuous Wavelet ◽  
Time Axis ◽  
Orthogonal Wavelet ◽  
Signal Component ◽  
Analysis Technique ◽  
Map Analysis

Abstract As a multi-resolution signal decomposition and analysis technique, the wavelet transforms have been already introduced to vibration signal processing. In this paper, a comparison on the time-scale map analysis is made between the discrete and the continuous wavelet transform. The orthogonal wavelet transform decomposes the vibration signal onto a series of orthogonal wavelet functions and the number of wavelets on one wavelet level is different from those on the other levels. Since the grids are unevenly distributed on the time-scale map, it is shown that a representation pattern of a vibration component on the map may be significantly altered or even be broken down into pieces when the signal has a shift along the time axis. On contrary, there is no such uneven distribution of grids on the continuous wavelet time-scale map, so that the representation pattern of a vibration signal component will not change its shape when the signal component shifts along the time axis. Therefore, the patterns in the continuous wavelet time-scale map are more easily recognised by human visual inspection or computerised automatic diagnosis systems. Using a Gaussian enveloped oscillation wavelet, the wavelet transform is capable of retaining the frequency meaning used in the spectral analysis, while making the interpretation of patterns on the time-scale maps easier.

Low-memory digital signal component separator for LINC transmitters

2001 ◽  
Vol 37 (7) ◽  
pp. 460 ◽  
Author(s):  
C.P. Conradi ◽  
J.G. McRory ◽  
R.H. Johnston
Keyword(s):  
Digital Signal ◽  
Signal Component
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