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author | andreas128 <Andreas> | 2017-04-01 10:17:06 +0100 |
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committer | andreas128 <Andreas> | 2017-04-01 10:17:06 +0100 |
commit | 6243a4fac50a9c8690e13c2df65c058e69fdcae5 (patch) | |
tree | 8e562b11f06a782974bd4d34b2f58005a3903fda /doc | |
parent | fce4eab342a5e4bfad01c5f7e704ece35bd718bc (diff) | |
parent | 8a5b4f23dec7d22e4f2e38cb7ef7223438461df8 (diff) | |
download | dabmod-6243a4fac50a9c8690e13c2df65c058e69fdcae5.tar.gz dabmod-6243a4fac50a9c8690e13c2df65c058e69fdcae5.tar.bz2 dabmod-6243a4fac50a9c8690e13c2df65c058e69fdcae5.zip |
Merge branch 'next' into next_memless
Diffstat (limited to 'doc')
-rw-r--r-- | doc/example.ini | 13 | ||||
-rwxr-xr-x | doc/time-freq-plot.py | 77 |
2 files changed, 85 insertions, 5 deletions
diff --git a/doc/example.ini b/doc/example.ini index 0659813..f8cec36 100644 --- a/doc/example.ini +++ b/doc/example.ini @@ -141,13 +141,16 @@ output=uhd [fileoutput] ; Two output formats are supported: In the default mode, -; the file output writes I/Q float values (i.e. complex float) -; to the file. The I and Q samples can take values up to -; 100000 in absolute magnitude with gainmode FIX. -; With gainmode VAR, they should never exceed 50000. -; With gainmode MAX, thet are limited to 32767. +; the file output writes I/Q float values (i.e. complex +; float) to the file. The I and Q samples can take values up +; to 810000 in absolute magnitude with gainmode FIX. With +; gainmode VAR and FIX, they should never exceed 50000. ;format=complexf ; +; When the format is set to complexf_normalised the maximal +; amplitude written to a file, is the digital gain +-10%. +;format=complexf_normalised +; ; When the format is set to s8, the output writes I/Q 8-bit ; signed integers, where the magnitude is multiplied by 128/50000 ; effectively mapping the gainmode VAR range of -50000 -- 50000 diff --git a/doc/time-freq-plot.py b/doc/time-freq-plot.py new file mode 100755 index 0000000..6ece564 --- /dev/null +++ b/doc/time-freq-plot.py @@ -0,0 +1,77 @@ +#!/usr/bin/python +# -*- coding: utf-8 -*- +# +# Print scope and spectrum from ODR-DabMod I/Q file +# +# The MIT License (MIT) +# +# Copyright (c) 2017 Matthias P. Braendli +# +# Permission is hereby granted, free of charge, to any person obtaining a copy +# of this software and associated documentation files (the "Software"), to deal +# in the Software without restriction, including without limitation the rights +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +# copies of the Software, and to permit persons to whom the Software is +# furnished to do so, subject to the following conditions: +# +# The above copyright notice and this permission notice shall be included in +# all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +# THE SOFTWARE. +import sys +import matplotlib.pyplot as plt +import numpy as np + +rate=2048000 +# T = 1/2048000 s +# NULL symbol is 2656 T (about 1.3ms) long. +T_NULL = 2656 +# Full transmission frame in TM1 is 96ms = 196608 T. +T_TF = 196608 + +num_skip_samples = 8 * T_TF +num_analyse_samples = 2 * T_TF + +if len(sys.argv) < 2: + print("Specify .iq file name") + print("Expected format: complex float I/Q, 2048000 Sps") + print("The input file must contain at least 10 transmission frames,") + print("i.e. {} samples = {} seconds".format(T_TF * 10, T_TF * 10.0 / rate)) + sys.exit(1) + +fd = open(sys.argv[1], 'rb') + +# The IQ files potentially have zero samples in the beginning, we need +# to skip a few transmission frames + + +source_data = np.fromfile(file=fd, dtype=np.complex64, count=num_skip_samples + num_analyse_samples) + +print("Read in {} samples".format(len(source_data))) + +source_data = source_data[num_skip_samples:] +source_data_time = np.linspace(0, num_analyse_samples/rate, len(source_data)) + +print("Signal power: {} of {} samples".format(np.sum(np.abs(source_data**2)), len(source_data))) + +fft_size = 4096 + +plt.figure(figsize=(10,8)) +plt.subplot(211) +plt.title("Real part of signal") +plt.plot(source_data_time, np.real(source_data)) + +signal_spectrum = np.abs(np.fft.fftshift(np.fft.fft(source_data[T_NULL:], fft_size))) +freqs = np.fft.fftshift(np.fft.fftfreq(fft_size, d=1./rate)) + +plt.subplot(212) +plt.title("Spectrum of {} samples after the NULL symbol".format(fft_size)) +plt.semilogy(freqs, signal_spectrum) + +plt.show() |