This release of guisdap contains new features and bugfixes, but everything is made compatible with older versions (hopefully). The package should be compatible with not too ancient Matlab versions (>2016), but there may (or may not) be some problems on specific platforms.
Guisdap 9.2 has been succesfully installed on linux. The software is available as a
git repository, or as precompiled
For best performance it’s adviced to compile the git scripts:
cd into the guisdap directory . ./libinstall.sh make a link of bin/guisdap to a place on your path (ex /usr/local/bin)
On a unix system prompt, type “guisdap –help” to see all the switches available. Normal analysis is done running “guisdap -a” which will bring up a window with some entries to fill in. (Hopefully selfexplained) This is the same as “guisdap” and then “analyse”. When finished hit “GO”. A more detailed instruction can be found at here.There is also a course presentation describing how to initialise new experiments and some useful tips on more specialised analysis. The initialisation scripts are avaiable with “guisdap -i”.
For Windows there is a startup script
windows_start.m available that should be chosen as ‘Run’ with right-click.
With version 9.2 the new HDF5 format for the result data is introduced.
- There is a comprehensive document descriping the format:
- There is a quicklook spreadsheet file for the format:
- More rawdata taking experiments have been prepared for automatic lagprofiling and analysis mainly to get sub-dump resolutions of data
- The libraries have been rewritten to allow more compilers and be more matlab independent
- Mex routines are now optional
- The internal time format is now TAI to allow unique time stamps
Numerous bug fixings and updates
Contact: Ingemar Häggström