[USRP-users] MIT Haystack Digital RF v2.5 open source release

Martin Braun martin.braun at ettus.com
Wed Jul 5 17:56:37 EDT 2017


Have you considered supporting SigMF format in addition to HDF5 (with
which I'm not at all familiar) for storing data?

https://github.com/gnuradio/SigMF

Cheers,
Martin

On 06/17/2017 04:09 PM, Frank Lind via USRP-users wrote:
> MIT Haystack Observatory is pleased to announce the formal open source release of Digital RF version 2.5 under a BSD license. The software implements a data recording format for scientific radio frequency (RF) instrumentation using the HDF5 scientific data format. The implementation is designed for the management of highly time-dependent data from a large number of radio sensors. Applications include radio science (e.g., radio astronomy, geospace radar) and any project requiring the capture and use of RF data as raw digital samples. 
> 
> Key Digital RF features include: 
> 
> 1. Data is written in a very deterministic way that allows for both high-speed linear recording of data and O(1) read-back of arbitrary data intervals. 
> 
> 2. Consistent metadata is provided and a sub-library offers a robust means of creating time-dependent metadata to annotate the raw RF data. 
> 
> 3. Tools, examples, and interfaces are provided to demonstrate use of the software and to allow basic manipulation and visualization of the data. 
> 
> 4. The Haystack Observatory Recorder (thor) is provided as a data recording example for use with Ettus software radios (i.e., X300, N200, B210, B200mini). 
> 
> 5. The core implementation is written in the C programming language with a Python wrapper. 
> 
> 6. A MATLAB interface is provided for reading data. 
> 
> 7. An interface to popular software radio systems is provided through a plugin for the GNU radio framework. 
> 
> This work was supported by the National Science Foundation under the Geospace Facilities and MRI programs, and by National Instruments/Ettus Corporation through the donation of software radio hardware. We are grateful for the support that made this development possible.
> 
> Digital RF is available on GitHub: 
> 
> https://github.com/MITHaystack/digital_rf
> 
> We hope you find the software useful and can contribute to its future development. For discussions related to Digital RF, please use our mailing lists (openradar-developers at openradar.org and openradar-users at openradar.org).
> 
> Regards,
> 
> Frank Lind, Bill Rideout, Juha Vierinen, Ryan Volz, John Swoboda, and Phil Erickson 
> 
> 
> 
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