Hi Fikrat,
no need to apologize :) Just keep the list in CC:, as I did now.
In fact, we're usually pretty happy to meet a few software engineers in
the GNU Radio community. We've got our own experience in writing
efficient algorithms, and our own experts in making things highly
accelerated on dif
Dear Fikrat,
the physical power depends on your waveform. Generally, the power is
always $P(t) = U(t)\cdot I(t)$, which, thanks to Ohm's law ($U=R\cdot
I\rightarrow I = \frac UR$) is $P(t) = \frac{U^2(t)}{R}$. As you might
know from the basics of electrical engineering, one can represent
harmonic
Dear Fikrat,
Feed in a known power, note down the digital power, repeat for another
known power.
You'll get three input power->digital power mappings.
Now, assume the power transfer function is a linear one:
$P_{digital} = G\cdot P_{analog} + P_{noise}$
With the two $(P_{digital}, P_{analog})$
Hi guys,
I hope you're all doing well.
I'm been searching a lot and I read that if I want to measure the absolute
power ( in W or dBm ) using the usrp_spectrum_sense.py, then I must
calibrate the USRP by injecting a signal of known physical power.
Can someone please walk me through the calibrati
