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author | sara <sara.halter@gmx.ch> | 2021-12-22 16:35:02 +0100 |
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committer | sara <sara.halter@gmx.ch> | 2021-12-22 16:35:02 +0100 |
commit | 02ab2bede3ac749fc5ce36315ef4d79200ea37dd (patch) | |
tree | 87665f140ab9300dfa8d7847bfdb59cbd61a63d3 /doc/thesis/figures/data | |
parent | Doku mesuremnet (diff) | |
download | Fading-02ab2bede3ac749fc5ce36315ef4d79200ea37dd.tar.gz Fading-02ab2bede3ac749fc5ce36315ef4d79200ea37dd.zip |
Plot Hardware
Diffstat (limited to '')
-rw-r--r-- | doc/thesis/figures/data/qpsk_hw_outdoors_1.py | 35 |
1 files changed, 35 insertions, 0 deletions
diff --git a/doc/thesis/figures/data/qpsk_hw_outdoors_1.py b/doc/thesis/figures/data/qpsk_hw_outdoors_1.py new file mode 100644 index 0000000..f6f816b --- /dev/null +++ b/doc/thesis/figures/data/qpsk_hw_outdoors_1.py @@ -0,0 +1,35 @@ +#!/usr/bin/env python3 + +import utils +import numpy as np + +# get array of samples [channel, synchronized, equalized, locked] +samples = utils.load_samples(__file__) + +# range of samples we want to show +start = 250e3 +end = start +400 + +# select every second samples +select_samples = lambda arr: arr[int(start):int(end):6] +values = map(select_samples, samples) + +# split into imaginary and real parts +get_parts = lambda v: (np.real(v), np.imag(v)) +parts = [p for v in map(get_parts, values) for p in v] + +# add 'samplenr' metadata +parts += [np.arange(0, len(parts[0]))] + +# zip data and add header +data = np.array(list(zip(*parts))) +headers = [ + "channel_re", "channel_im", + "synchronized_re", "synchronized_im", + "equalized_re", "equalized_im", + "locked_re", "locked_im", + "samplenr", +] + +# save to file +utils.save_to_file(__file__, data, headers) |