Spectra of center-of-gravity shifts of light beams in a turbulent atmosphere

1978 ◽  
Vol 21 (8) ◽  
pp. 840-845
Author(s):  
A. S. Drofa
Keyword(s):  
Turbulent Atmosphere ◽  
Center Of Gravity ◽  
Light Beams

A method for measuring the displacement of the center of gravity of a beam that has passed through a turbulent atmosphere

1971 ◽  
Vol 14 (12) ◽  
pp. 1440-1443
Author(s):  
�. I. Gel'fer ◽  
N. I. Murav'ev ◽  
S. E. Finkel'shtein ◽  
A. M. Cheremukhin
Keyword(s):  
Turbulent Atmosphere ◽  
Center Of Gravity

Spreading of focused light beams in a turbulent atmosphere

1972 ◽  
Vol 15 (3) ◽  
pp. 380-384 ◽  
Author(s):  
V. Ya. S'edin ◽  
S. S. Khmelevtsov
Keyword(s):  
Turbulent Atmosphere ◽  
Light Beams

Fluctuations of the centers of gravity of light beams in a turbulent atmosphere

1974 ◽  
Vol 17 (10) ◽  
pp. 1147-1155 ◽  
Author(s):  
A. I. Kon ◽  
V. L. Mironov ◽  
V. V. Nosov
Keyword(s):  
Turbulent Atmosphere ◽  
Light Beams

Fluctuations in the image center of gravity when sounding in a turbulent atmosphere

1989 ◽  
Vol 32 (6) ◽  
pp. 501-506
Author(s):  
G. Ya. Patrushev ◽  
O. A. Pelymskii ◽  
A. I. Petrov
Keyword(s):  
Turbulent Atmosphere ◽  
Center Of Gravity ◽  
Image Center

Classification of Acceleration Waveforms during Walking by Wavelet Transform

1997 ◽  
Vol 36 (04/05) ◽  
pp. 356-359 ◽  
Author(s):  
M. Sekine ◽  
M. Ogawa ◽  
T. Togawa ◽  
Y. Fukui ◽  
T. Tamura
Keyword(s):  
Wavelet Transform ◽  
Wavelet Analysis ◽  
Center Of Gravity ◽  
Dynamic Responses ◽  
Sequential Data ◽  
Acceleration Signal ◽  
Continuous Dynamic

Abstract:In this study we have attempted to classify the acceleration signal, while walking both at horizontal level, and upstairs and downstairs, using wavelet analysis. The acceleration signal close to the body’s center of gravity was measured while the subjects walked in a corridor and up and down a stairway. The data for four steps were analyzed and the Daubecies 3 wavelet transform was applied to the sequential data. The variables to be discriminated were the waveforms related to levels -4 and -5. The sum of the square values at each step was compared at levels -4 and -5. Downstairs walking could be discriminated from other types of walking, showing the largest value for level -5. Walking at horizontal level was compared with upstairs walking for level -4. It was possible to discriminate the continuous dynamic responses to walking by the wavelet transform.

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