JensHannemann, to threegoodthings
@JensHannemann@mastodon.online avatar
  1. Good department meeting with the dean today.
  2. Ordered a lot of hardware for next semester’s classes.
  3. Got working natively on my ARM Mac with my .

@threegoodthings

aa4hs, to random

GNU Radio Conference
September 16-20
Knoxville, Tennessee

Call for participation
More Information: https://gnuradio.org/grcon24

M0CUV, to hamradio
@M0CUV@mastodon.radio avatar

Hi folks, do any of you have a decent book/article reference that contains a practical explanation of using the Fourier transform to obtain a frequency spectra from a sampled audio waveform - with code if possible - that doesn’t go overboard with masses of EE-graduate-level maths? Some maths is fine. Thanks!

aa4hs,

@M0CUV https://pysdr.org is your friend.

Yes, it's , but calling an fft routine via numpy is not so different from calling an fft from other languages and libraries.

Also, try out some of the tutorials.

itnewsbot, to random

Roll Your Own SDR - If you have software-defined radio hardware and you are only using someone elses’ ... - https://hackaday.com/2023/12/16/roll-your-own-sdr/

trashrobot, to random

Any nerds here? What accounts should I follow to learn more about this?

argilo, to opensource

Gqrx 2.17.1 is out! 🎉 It's got a few new features, including the ability to save recordings in SigMF format. https://github.com/gqrx-sdr/gqrx/releases/tag/v2.17.1

fsf, to random
@fsf@hostux.social avatar

has its annual conference coming up just around the corner on September 5-9, 2023. Follow their account on Mastodon at @gnuradio and check out their website at https://www.gnuradio.org/

Blending GNU Radio and Aldec Riviera-PRO for verification of Software Defined Radio

This whitepaper https://www.aldec.com/en/company/blog/190--development-of-real-time-sdr-systems-with-aldec-hes describes a method by which the designer can leverage the rapid signal prototyping capability in GNU Radio and use it in co-simulation with Aldec Riviera-PRO....

lizakowski, to random

One set of my hobbies is based around wanting to see the world in different ways. Such as with radio waves...

This time around, I wanted to explore what the local RF spectrum looks like, from 80 Mhz to 6 Ghz, averaged over a period of days.

I realized some of the signal wasn't coming from the antenna, so I did some experiments.

The bottom graph shows the spectrum with inputs terminated. Ideally I should see flat noise. But when I zoom in, I can see local radio stations. Not ideal.

Front end gain is 72db, so these signals are closer to -100db, which is fairly small. I haven't calibrated to dbm yet.

The top graph is the same, but with the radio wrapped in metal foil. The radio stations go away. This is much better, but some peaks remain.

Data collected and processed with python, , and / matplotlib. 56Mhz of bandwidth is recorded (RT priority) for a day or two per run. Outliers are removed > 3* stddev. Each data set is then rendered at 1khz resolution.

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