scholarly journals Tidal and residual currents in the Qiongzhou Strait estimated from shipboard ADCP data using a modified tidal harmonic analysis method

2014 ◽  
Vol 119 (11) ◽  
pp. 8039-8060 ◽  
Author(s):  
Xiao-Hua Zhu ◽  
Yun-Long Ma ◽  
Xinyu Guo ◽  
Xiaopeng Fan ◽  
Yu Long ◽  
...  
Keyword(s):  
Harmonic Analysis ◽  
Analysis Method ◽  
Residual Currents ◽  
Tidal Harmonic ◽  
Qiongzhou Strait ◽  
Tidal And Residual Currents ◽  
Harmonic Analysis Method ◽  
Adcp Data

scholarly journals Application of a non-linear damped harmonic analysis method to the normal modes of the Earth

2008 ◽  
Vol 45 (1) ◽  
pp. 63-71 ◽  
Author(s):  
Severine Rosat ◽  
Toshio Fukushima ◽  
Tadahiro Sato ◽  
Yoshiaki Tamura
Keyword(s):  
Harmonic Analysis ◽  
Normal Modes ◽  
Analysis Method ◽  
The Earth ◽  
Non Linear ◽  
Harmonic Analysis Method

Tidal and residual currents over abrupt deep-sea topography based on shipboard ADCP data and tidal model solutions for three popular bathymetry grids

2013 ◽  
Vol 63 (2-3) ◽  
pp. 195-208 ◽  
Author(s):  
Christian Mohn ◽  
Svetlana Erofeeva ◽  
Robert Turnewitsch ◽  
Bernd Christiansen ◽  
Martin White
Keyword(s):  
Deep Sea ◽  
Tidal Model ◽  
Residual Currents ◽  
Model Solutions ◽  
Tidal And Residual Currents ◽  
Adcp Data

scholarly journals RANDOM NOISE ASSESSMENT IN AERIAL AND SATELLITE IMAGES

2021 ◽  
Vol XLIII-B2-2021 ◽  
pp. 771-775
Author(s):  
I. Anikeeva ◽  
A. Chibunichev
Keyword(s):  
Harmonic Analysis ◽  
Satellite Images ◽  
Image Quality Assessment ◽  
Random Noise ◽  
Satellite Image ◽  
Image Noise ◽  
Analysis Method ◽  
Random Image ◽  
Noise Assessment ◽  
Harmonic Analysis Method

Abstract. Random noise in aerial and satellite images is one of the factors, decreasing their quality. The noise level assessment in images is paid not enough attention. The method of numerical estimation of random image noise is considered. The object of the study is the image noise estimating method, based on harmonic analysis. The capability of using this method for aerial and satellite image quality assessment is considered. The results of the algorithm testing on model data and on real satellite images with different terrain surfaces are carried out. The accuracy estimating results for calculating the root-mean-square deviation (RMS) of random image noise by the harmonic analysis method are shown.

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