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When saving large arrays with repeated elements, data compression can save a huge amount of space.
This BSD licensed toolbox by Kota Yamaguchi uses matlab java interface to support gzip and zlib based compression. Use it for now.
https://www.mathworks.com/matlabcentral/fileexchange/39526-byte-encoding-utilities
For octave, need to find alternatively solution.
Ultimately, need a mex-based gzipencode/zlibencode package for portability.
The text was updated successfully, but these errors were encountered:
0d61c4b
all other related commits:
Primary commit: https://github.com/fangq/jsonlab/commit/3322f6f5cca1ffab353dd2403893630b120285fd
Other minor updates: https://github.com/fangq/jsonlab/commit/c166aa709788dd1724eac252ea6719b049459c03 https://github.com/fangq/jsonlab/commit/804115b8eff553af1529c904a21bf8a9388c8474 https://github.com/fangq/jsonlab/commit/0d61c4bdb1e1b1cc1aa45346fa146ca3924c5ed6 https://github.com/fangq/jsonlab/commit/70551fe4448c348fc4f27a86fbe03388fe92c94d
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When saving large arrays with repeated elements, data compression can save a huge amount of space.
This BSD licensed toolbox by Kota Yamaguchi uses matlab java interface to support gzip and zlib based compression. Use it for now.
https://www.mathworks.com/matlabcentral/fileexchange/39526-byte-encoding-utilities
For octave, need to find alternatively solution.
Ultimately, need a mex-based gzipencode/zlibencode package for portability.
The text was updated successfully, but these errors were encountered: