Marcus This is an explicit answer and guide to the exact tutorials *I* needed to start capturing my particular dataset.
That said, a question on refinement (and I can put this on the list if you think there's sufficient interest): Rather than capturing all the spectrum "all the time" I would like to create a GRC flowgraph (at least until I'm comfortable writing my own code) that will bin samples, look for a particular amplitude spike, and save the bin if the spike is detected. The specific application is to look at characteristic spectra of cloud-ground and cloud-cloud lighting impulses. Do you have a suggestion? Regards Gerry " Hi Gerry, I think it would be cool if you forwarded this to the list :) Generally, it's never bad to ask one question too many, and if something interesting comes out of a discussion, everyone will profit. I think with "binning samples" you might need to channelize them into different subbands? You could do that with a set of band pass filters. This will surely be functional, but will have a high computational load. If your subbands are equally shaped, you could use the Polyphase Channelizer to get a set of subbands, which will be much more efficient. On each of these N subbands, you could use a squelch and only save the passing signal into N file sinks. Greetings, Marcus " Thanks, Marcus. I'll be looking at Polyphase Channelizer as soon as I can get back to that system! Regards Gerry On Mon, Dec 1, 2014 at 10:29 AM, Marcus Müller <marcus.muel...@ettus.com> wrote: > > When u say complex samples, i thought it should in time domain, > > yes, these are time domain samples. > > > I just want use USRP to > > collect the a wide band signal around and save the data to the txt file, > > Usually, there's no good reason to save millions of samples in text > format -- it's not really useful, just big. > If you, for some reason, need that, you can either write your own sink > that does that, or use python, octave, matlab, C, C++, or whatever you > like to load the binaries and print out strings representing complex > numbers textually. > > > so i use the usr_spectrum_sense. > usrp_spectrum_sense is really a visualization demo. > If you just want to save the signal from a USRP to a file, that's a two > block flow graph in the GNU Radio companion: Just connect the USRP > Source to a File Sink, parameterize both to your likings, and you're done. > > If that sounds strange to you, I can really recommend going through the > guided tutorials 1, 2 and 3, and most of your questions will be answered :) > http://gnuradio.org/redmine/projects/gnuradio/wiki/Guided_Tutorials > > Greetings, > Marcus > > > On 12/01/2014 05:14 PM, Leo Yang wrote: > > When u say complex samples, i thought it should in time domain, and > after the > > the fft block, it transfer to frequency domain. I just want use USRP to > > collect the a wide band signal around and save the data to the txt file, > so > > i use the usr_spectrum_sense. > > > > and how to make the binary samples visualized and could be processed? > > or the s2v is the thing I may consider? > > > > > > > > -- > > View this message in context: > http://gnuradio.4.n7.nabble.com/Log-raw-data-from-the-usrp-spectrum-sense-py-tp51503p51506.html > > Sent from the GnuRadio mailing list archive at Nabble.com. > > > > _______________________________________________ > > Discuss-gnuradio mailing list > > Discuss-gnuradio@gnu.org > > https://lists.gnu.org/mailman/listinfo/discuss-gnuradio > > > _______________________________________________ > Discuss-gnuradio mailing list > Discuss-gnuradio@gnu.org > https://lists.gnu.org/mailman/listinfo/discuss-gnuradio > -- Gerry Creager NSSL/CIMMS 405.325.6371 ++++++++++++++++++++++ “Big whorls have little whorls, That feed on their velocity; And little whorls have lesser whorls, And so on to viscosity.” Lewis Fry Richardson (1881-1953) -- Gerry Creager NSSL/CIMMS 405.325.6371 ++++++++++++++++++++++ “Big whorls have little whorls, That feed on their velocity; And little whorls have lesser whorls, And so on to viscosity.” Lewis Fry Richardson (1881-1953)
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