Hello Martin
Thank you for the help. I try to run "specest_noisy_sinusoid_mtm.py" (Python
script is also okey for me). However it does not run "it says no module
specest".
By the way I am using windows 8 OS.
My goal is is to write a simple python or gnuradio code to perform the
following task
I have the following variables
NFFT=1024
Nav=512
ampl=1
seed=1
Sampling_rate= 10k
1. Generate any real time signal (This could be done by using
"gr.noise_source_f (gr.GR_GAUSSIAN, ampl, seed1)).
2. Insert throttle to control the sampling rate (i.e., gr.throttle(1,
Sampling_rate))
3. Compute the FFT (even without windowing) (i.e., NFFT samples at a time)
Let me assume that after I compute FFT and I got an "x" vector of size NFFT
4. Compute the square magnitude of x (This could be done by using
gr.complex_to_mag_squared(NFFT))
i.e., in matlab y=abs(x).^2
4. sum the first and second Nav samples
i.e., av1=sum(y(1:512))/Nav and
av2=sum(y(513:1024))/Nav
5. Then display "av1" and "av2" in a text box continuously.
Note that in matlab (without GUI it is very easy task)
And I feel that there should be some simple approach to do it in GNUradio
Thank you again for your help
---
Tadilo Endeshaw
Postdoctoral Researcher
Institut National de recherche Scientifique
Centre Energie Matriaux Telecommunications
Place Bonaventure,
800 de la Gauchetiere Ouest, Suite 6900
H5A 1K6
Montreal, QC
Canada
E-mail : [email protected]
[email protected] (private)
Personal home page: https://sites.google.com/site/tadilomypage/
________________________________________
From: [email protected]
[[email protected]] On Behalf Of
Martin Braun [[email protected]]
Sent: July 30, 2014 10:01 AM
To: [email protected]
Subject: Re: [Discuss-gnuradio] Spectrum sensing Simulation Only
On 07/30/2014 03:37 PM, Tom Rondeau wrote:
> The easiest way to average is to use the single_pole_iir_filter to
> smooth out the data stream. But note that you're coming out of the FFT
> block as a vector. You can set the vector length of the single pole IIR,
> but I'd have to review exactly what that means mathematically. It
> probably smooths the entire vector as one as opposed to smoothing over
> index i in each vector. You might have to play around with that.
gr-specest might help you with that (pybombs install gr-specest, or
https://github.com/kit-cel/gr-specest).
M
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