This library provides python scripts for the extraction of data from udt raw binary files (version 5) generated by Ubertone's UB-Lab P, UB-Lab S4, UB-SediFlow and UB-Lab 3C. For earlier udt versions, please refer to udt v4 library
If you don't want to write your own code, you will love our online processing and visualisation tool. We can also provide custom data processing on this cloud platform.
For general data about Ubertone's acoustic profiler, see Ubertone's website.
The scripts are dependent on NumPy and on the peacock_uvp_py_api library.
copy or link (ln -s XXX/peacock_uvp) the peacock_uvp folder into the udt_extractor folder (or change the sys.path in test.py) and run python test.py to read the content of the raw_test.udt
By default, the amount of data extracted is limited to about 50 MB (to avoid memory overload). This value can be modified when calling raw_extract(). If you handle big files, you should better rewrite raw_extract() code with an optimized approach.
Data format details are given in the user manual.
IQ data can also be extracted as :
(cell 30 of channel for at 1.7 secondes)
See the test.py code for more details.
Some comments are still in french, sorry for that, we are working on the translation.
If anything is unclear after reading the document and scripts, feel free to contact us