Rank: 1400 based on 83 downloads (last 30 days) and 2 files submitted
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Yuriy Skalko

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16 Apr 2013 Screenshot Line coding: Manchester, unipolar and polar RZ, unipolar NRZ Signal coding using different line codes: Manchester, unipolar and polar RZ, unipolar NRZ Author: Yuriy Skalko line coding, manchester, nrz, rz 71 0
  • 5.0
5.0 | 2 ratings
27 Nov 2012 Screenshot Data compression by removing redundant points The function removes redundant data points from the 2D data. Author: Yuriy Skalko data compression, historian compression, swinging door 12 4
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07 Aug 2013 Data compression by removing redundant points The function removes redundant data points from the 2D data. Author: Yuriy Skalko

Thank you for feedback, Per.

I've tried your sample inputs and cannot see any problem with compressed outputs. The last point is always included into output points. Could you send the output that you expected?

I have no much experience with Swinging Door algorithm, but it has approximately the same compression level as GE Historian. I don't have data, used on this slide and will be unable to explain achieved compression ratio in this example.

19 Nov 2012 Data compression by removing redundant points The function removes redundant data points from the 2D data. Author: Yuriy Skalko

Hello, ses. What you mean by "XCV"?

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03 May 2014 Line coding: Manchester, unipolar and polar RZ, unipolar NRZ Signal coding using different line codes: Manchester, unipolar and polar RZ, unipolar NRZ Author: Yuriy Skalko Asem

07 Feb 2014 Line coding: Manchester, unipolar and polar RZ, unipolar NRZ Signal coding using different line codes: Manchester, unipolar and polar RZ, unipolar NRZ Author: Yuriy Skalko ahmed, afaq

15 Nov 2013 Data compression by removing redundant points The function removes redundant data points from the 2D data. Author: Yuriy Skalko CIMADURE, Ronan

07 Aug 2013 Data compression by removing redundant points The function removes redundant data points from the 2D data. Author: Yuriy Skalko Skalko, Yuriy

Thank you for feedback, Per.

I've tried your sample inputs and cannot see any problem with compressed outputs. The last point is always included into output points. Could you send the output that you expected?

I have no much experience with Swinging Door algorithm, but it has approximately the same compression level as GE Historian. I don't have data, used on this slide and will be unable to explain achieved compression ratio in this example.

24 Jul 2013 Data compression by removing redundant points The function removes redundant data points from the 2D data. Author: Yuriy Skalko isakson, per

Thank you for this code and the reference.

I think, there is a minor problem with logic of the while-loop. The second last point cannot be included in the compressed sequence, (xc,yc).

This set of input data illustrates the problem.

y = [1.0,1.1,1.2,1.1,0.9,0.7,0.3,2.1,2.0,2.0,1.7];
x = ( 1 : length( x ) );
eps = 0.1;

The second last slide in the ppt-file shows a comparison between two compression methods. I'm not sure what "xH" refers to, but it ought to be "GE Historian". If that is the case, I cannot understand the large difference in compression ratio between the two.

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