Wavelet-based lossy compression of barotropic turbulence simulation data

2003 ◽  
Author(s):  
J.P. Wilson
Keyword(s):  
Lossy Compression ◽  
Simulation Data ◽  
Turbulence Simulation

Compression of Barotropic Turbulence Simulation Data Using Wavelet-Based Lossy Coding

2002 ◽  
Author(s):  
John P. Wilson
Keyword(s):  
Evaluation Criteria ◽  
Floating Point ◽  
Simulation Data ◽  
Single Precision ◽  
Acceptable Error ◽  
Turbulence Simulation ◽  
Lossy Coding ◽  
Point Data ◽  
Definition Of ◽  
Quantities Of Interest

Single-precision floating point data from a simulation of barotropic turbulence is compressed with a wavelet-based method. The quantity being compressed is vorticity. The compression error is evaluated both in terms of error in the vorticity and the error in various quantities derived from the vorticity. Numerical error is evaluated in all quantities and visualizations of the vorticity and correlation of the error with the uncompressed data are evaluated. It is found that depending on the quantities of interest and the evaluation criteria, compression ratios of 4:1 to 256:1 are achievable. Under a conservative definition of acceptable error, it is possible to recover quantities of interest from data compressed 4:1 (8bpp), the data rate that in existing practice is used for visualization.

Framework for Sharing of Highly Resolved Turbulence Simulation Data

2017 ◽  
pp. 225-232
Author(s):  
Bastian Tweddell ◽  
Jens Henrik Göbbert ◽  
Michael Gauding ◽  
Benjamin Weyers ◽  
Björn Hagemeier
Keyword(s):  
Simulation Data ◽  
Turbulence Simulation

scholarly journals A nonlinear structural subgrid-scale closure for compressible MHD. II. A priori comparison on turbulence simulation data

2016 ◽  
Vol 23 (6) ◽  
pp. 062317 ◽  
Author(s):  
Philipp Grete ◽  
Dimitar G. Vlaykov ◽  
Wolfram Schmidt ◽  
Dominik R. G. Schleicher
Keyword(s):  
A Priori ◽  
Subgrid Scale ◽  
Simulation Data ◽  
Turbulence Simulation ◽  
Nonlinear Structural

Lossy Compression of Haptic Data by Using DCT

2010 ◽  
Vol 130 (8) ◽  
pp. 945-952 ◽  
Author(s):  
Hiroyuki Tanaka ◽  
Kouhei Ohnishi
Keyword(s):  
Lossy Compression

OPTIMAL OPERATION POINT IN 3D DCT- BASED LOSSY COMPRESSION OF COLOR AND MULTICHANNEL REMOTE SENSING IMAGES

2015 ◽  
Vol 74 (20) ◽  
pp. 1803-1821 ◽  
Author(s):  
V. V. Lukin ◽  
S. K. Abramov ◽  
R.A. Kozhemiakin ◽  
Benoit Vozel ◽  
B. Djurovic ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Lossy Compression ◽  
Optimal Operation ◽  
Remote Sensing Images

AN AUTOMATIC APPROACH TO LOSSY COMPRESSION OF AVIRIS HYPERSPECTRAL DATA

2010 ◽  
Vol 69 (6) ◽  
pp. 537-563 ◽  
Author(s):  
N. N. Ponomarenko ◽  
M. S. Zriakhov ◽  
A. Kaarna
Keyword(s):  
Lossy Compression ◽  
Hyperspectral Data
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