Re: [Discuss-gnuradio] dB or dBm

Well, dBm is an absolute power, based on 0dBm = 1mW. The dB figures of your receiver are only relative values, they have no meaning. However those get interesting when something changes. You just need to understand that the input of -20dBm power has nothing to do with the resulting reading of -58dB

Re: [Discuss-gnuradio] Rational Resampler no output.

Found it: Created an C++ app that called that function with the same parameter values as with python for this flow graph. Witch I was able to debug normally. In window.cc line 265, with i = ntaps - 1, temp = 1.002 that cause sqrt (0) witch return "-nan" on the next line and screw

[Discuss-gnuradio] [GSoC 2017] gr-sigmf: Weekly update

Hello, There is an example flowgraph under the /examples directory of the gr-sigmf module, that demonstrates the functionality of sigmf sink block. Please take a look at the gr-sigmf repo . Also, you can find a video in the latest post at my blog

Re: [Discuss-gnuradio] Python and C++ codes of the blocks IEEE 802.11

2017-06-25 5:23 GMT-05:00 Bastian Bloessl : > Hi Christian, > > > On 24. Jun 2017, at 22:50, Cristian Rodríguez < > cristian.rodriguez...@gmail.com> wrote: > > > > This parameter is no global, I mean, when I use the wifi_phy_hier.grc in > the transceiver.grc or tx.grc, etc, If I modify the paramet

Re: [Discuss-gnuradio] Python and C++ codes of the blocks IEEE 802.11

Hi Christian, > On 24. Jun 2017, at 22:50, Cristian Rodríguez > wrote: > > This parameter is no global, I mean, when I use the wifi_phy_hier.grc in the > transceiver.grc or tx.grc, etc, If I modify the parameter before launch the > simulation it is ok, the change has effect in the flowgraph,

Re: [Discuss-gnuradio] cross correlation in the time domain and through Fourier tranform ?

as a followup to my own post, some simulation with a smaller FFT size and synthetic data (as opposed to records from the sound card) do yield the expected behavior of an FFT analyzer used in cross-correlation mode: jmfriedt.sequanux.org/test_vector.grc generates a cross-correlation peak every N sam