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| author | Matthias P. Braendli <matthias.braendli@mpb.li> | 2016-07-25 20:30:15 +0200 |
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| committer | Matthias P. Braendli <matthias.braendli@mpb.li> | 2016-07-25 20:30:15 +0200 |
| commit | 6cb14e70a7f2ab6077aa00106e082aa00627057f (patch) | |
| tree | 8ef1d5199e0a654c26f05f7e5618e6f15324e3ed | |
| parent | e359479f2ca631686d8c20153dc54b109b917f5b (diff) | |
| download | odr-dab-cir-6cb14e70a7f2ab6077aa00106e082aa00627057f.tar.gz odr-dab-cir-6cb14e70a7f2ab6077aa00106e082aa00627057f.tar.bz2 odr-dab-cir-6cb14e70a7f2ab6077aa00106e082aa00627057f.zip | |
Update readme
| -rw-r--r-- | README.md | 24 |
1 files changed, 20 insertions, 4 deletions
@@ -15,12 +15,26 @@ Right now there are three scripts: Each reflexion has a delay and an amplitude factor. * cir_measure.py: Runs a small webserver that does the correlation - all the time and updates a webpage (INCOMPLETE! NOT FUNCTIONAL!) + all the time and updates a webpage Example image:  The image shows the received CIR of a real DAB signal captured with the RTLSDR. +Webserver +--------- + +To run the webserver on all network interfaces, receiving on 202.928MHz: + + ./cir_measure.py --host 0.0.0.0 --port 8080 --freq 202928000 + +More options are available (gain, number of samples), see the help with + + ./cir_measure.py -h + +Offline processing +------------------ + To read in a recording using a RTL-SDR receiver, use: rtl_sdr -f 188928000 -s 2048000 -g 20 -S - | \ @@ -34,13 +48,15 @@ Then feed the data to the script Requirements ------------- -Python with NumPy and matplotlib +============ +librtlsdr and its tools. + +Python with NumPy and matplotlib. The iq files must be complex float or interleaved unsigned 8-bit. Licence -------- +======= MIT. See LICENCE for details. |