From 42847d93ef34cfdeb55ba1949e904a8e7148265b Mon Sep 17 00:00:00 2001 From: Nao Pross Date: Sat, 18 Dec 2021 18:25:49 +0100 Subject: Add static simulations --- .../channel_qpsk_sim_const_nochannel.dat | Bin 3447720 -> 0 bytes .../data/flowgraphs/channel_qpsk_sim_nochannel.dat | Bin 0 -> 3447720 bytes ...annel_qpsk_sim_static_firblock_los_halfsymb.dat | Bin 0 -> 1394384 bytes .../channel_qpsk_sim_static_firblock_los_vec.dat | Bin 0 -> 1525448 bytes ...nnel_qpsk_sim_static_firblock_nlos_halfsymb.dat | Bin 0 -> 2071552 bytes .../channel_qpsk_sim_static_firblock_nlos_vec.dat | Bin 0 -> 1590984 bytes .../equalized_qpsk_sim_const_nochannel.dat | Bin 861600 -> 0 bytes .../flowgraphs/equalized_qpsk_sim_nochannel.dat | Bin 0 -> 861600 bytes ...lized_qpsk_sim_static_firblock_los_halfsymb.dat | Bin 0 -> 348264 bytes .../equalized_qpsk_sim_static_firblock_los_vec.dat | Bin 0 -> 381032 bytes ...ized_qpsk_sim_static_firblock_nlos_halfsymb.dat | Bin 0 -> 517552 bytes 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...m_const_dynamic_grblock_los_etsi_doppler5_k5.py | 31 --------------------- ..._const_dynamic_grblock_los_etsi_doppler70_k5.py | 31 --------------------- ...sim_const_dynamic_grblock_nlos_etsi_doppler5.py | 31 --------------------- ...im_const_dynamic_grblock_nlos_etsi_doppler70.py | 31 --------------------- .../figures/data/qpsk_sim_const_nochannel.py | 31 --------------------- .../qpsk_sim_const_static_firblock_los_halfsymb.py | 31 --------------------- .../data/qpsk_sim_const_static_firblock_los_vec.py | 31 --------------------- ...qpsk_sim_const_static_firblock_nlos_halfsymb.py | 31 --------------------- ...psk_sim_dynamic_grblock_los_etsi_doppler5_k5.py | 31 +++++++++++++++++++++ ...sk_sim_dynamic_grblock_los_etsi_doppler70_k5.py | 31 +++++++++++++++++++++ .../qpsk_sim_dynamic_grblock_nlos_etsi_doppler5.py | 31 +++++++++++++++++++++ ...qpsk_sim_dynamic_grblock_nlos_etsi_doppler70.py | 31 +++++++++++++++++++++ doc/thesis/figures/data/qpsk_sim_nochannel.py | 31 +++++++++++++++++++++ .../data/qpsk_sim_static_firblock_los_halfsymb.py | 31 +++++++++++++++++++++ .../data/qpsk_sim_static_firblock_los_vec.py | 31 +++++++++++++++++++++ .../data/qpsk_sim_static_firblock_nlos_halfsymb.py | 31 +++++++++++++++++++++ .../data/qpsk_sim_static_firblock_nlos_vec.py | 31 +++++++++++++++++++++ 41 files changed, 279 insertions(+), 248 deletions(-) delete mode 100644 doc/thesis/figures/data/flowgraphs/channel_qpsk_sim_const_nochannel.dat create mode 100644 doc/thesis/figures/data/flowgraphs/channel_qpsk_sim_nochannel.dat create mode 100644 doc/thesis/figures/data/flowgraphs/channel_qpsk_sim_static_firblock_los_halfsymb.dat create mode 100644 doc/thesis/figures/data/flowgraphs/channel_qpsk_sim_static_firblock_los_vec.dat create mode 100644 doc/thesis/figures/data/flowgraphs/channel_qpsk_sim_static_firblock_nlos_halfsymb.dat create mode 100644 doc/thesis/figures/data/flowgraphs/channel_qpsk_sim_static_firblock_nlos_vec.dat delete mode 100644 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b/doc/thesis/figures/data/flowgraphs/synchronized_qpsk_sim_static_firblock_nlos_halfsymb.dat new file mode 100644 index 0000000..328e38b Binary files /dev/null and b/doc/thesis/figures/data/flowgraphs/synchronized_qpsk_sim_static_firblock_nlos_halfsymb.dat differ diff --git a/doc/thesis/figures/data/flowgraphs/synchronized_qpsk_sim_static_firblock_nlos_vec.dat b/doc/thesis/figures/data/flowgraphs/synchronized_qpsk_sim_static_firblock_nlos_vec.dat new file mode 100644 index 0000000..ceec6d6 Binary files /dev/null and b/doc/thesis/figures/data/flowgraphs/synchronized_qpsk_sim_static_firblock_nlos_vec.dat differ diff --git a/doc/thesis/figures/data/qpsk_sim_const_dynamic_grblock_los_etsi_doppler5_k5.py b/doc/thesis/figures/data/qpsk_sim_const_dynamic_grblock_los_etsi_doppler5_k5.py deleted file mode 100644 index eae2afc..0000000 --- a/doc/thesis/figures/data/qpsk_sim_const_dynamic_grblock_los_etsi_doppler5_k5.py +++ /dev/null @@ -1,31 +0,0 @@ -#!/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 = 1e3 -end = start +800 - -# select every second samples -select_samples = lambda arr: arr[int(start):int(end):4] -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] - -# 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" -] - -# save to file -utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_const_dynamic_grblock_los_etsi_doppler70_k5.py b/doc/thesis/figures/data/qpsk_sim_const_dynamic_grblock_los_etsi_doppler70_k5.py deleted file mode 100644 index eae2afc..0000000 --- a/doc/thesis/figures/data/qpsk_sim_const_dynamic_grblock_los_etsi_doppler70_k5.py +++ /dev/null @@ -1,31 +0,0 @@ -#!/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 = 1e3 -end = start +800 - -# select every second samples -select_samples = lambda arr: arr[int(start):int(end):4] -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] - -# 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" -] - -# save to file -utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_const_dynamic_grblock_nlos_etsi_doppler5.py b/doc/thesis/figures/data/qpsk_sim_const_dynamic_grblock_nlos_etsi_doppler5.py deleted file mode 100644 index eae2afc..0000000 --- a/doc/thesis/figures/data/qpsk_sim_const_dynamic_grblock_nlos_etsi_doppler5.py +++ /dev/null @@ -1,31 +0,0 @@ -#!/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 = 1e3 -end = start +800 - -# select every second samples -select_samples = lambda arr: arr[int(start):int(end):4] -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] - -# 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" -] - -# save to file -utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_const_dynamic_grblock_nlos_etsi_doppler70.py b/doc/thesis/figures/data/qpsk_sim_const_dynamic_grblock_nlos_etsi_doppler70.py deleted file mode 100644 index eae2afc..0000000 --- a/doc/thesis/figures/data/qpsk_sim_const_dynamic_grblock_nlos_etsi_doppler70.py +++ /dev/null @@ -1,31 +0,0 @@ -#!/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 = 1e3 -end = start +800 - -# select every second samples -select_samples = lambda arr: arr[int(start):int(end):4] -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] - -# 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" -] - -# save to file -utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_const_nochannel.py b/doc/thesis/figures/data/qpsk_sim_const_nochannel.py deleted file mode 100644 index 7e42348..0000000 --- a/doc/thesis/figures/data/qpsk_sim_const_nochannel.py +++ /dev/null @@ -1,31 +0,0 @@ -#!/usr/bin/env python3 - -import utils -import numpy as np - -# get array of samples [channel, synchronized, equalized, locked] -samples = utils.load_samples("qpsk_sim_const_nochannel") - -# range of samples we want to show -start = 1e3 -end = start + 200 - -# select every second samples -select_samples = lambda arr: arr[int(start):int(end):2] -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] - -# 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" -] - -# save to file -utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_const_static_firblock_los_halfsymb.py b/doc/thesis/figures/data/qpsk_sim_const_static_firblock_los_halfsymb.py deleted file mode 100644 index eae2afc..0000000 --- a/doc/thesis/figures/data/qpsk_sim_const_static_firblock_los_halfsymb.py +++ /dev/null @@ -1,31 +0,0 @@ -#!/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 = 1e3 -end = start +800 - -# select every second samples -select_samples = lambda arr: arr[int(start):int(end):4] -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] - -# 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" -] - -# save to file -utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_const_static_firblock_los_vec.py b/doc/thesis/figures/data/qpsk_sim_const_static_firblock_los_vec.py deleted file mode 100644 index eae2afc..0000000 --- a/doc/thesis/figures/data/qpsk_sim_const_static_firblock_los_vec.py +++ /dev/null @@ -1,31 +0,0 @@ -#!/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 = 1e3 -end = start +800 - -# select every second samples -select_samples = lambda arr: arr[int(start):int(end):4] -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] - -# 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" -] - -# save to file -utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_const_static_firblock_nlos_halfsymb.py b/doc/thesis/figures/data/qpsk_sim_const_static_firblock_nlos_halfsymb.py deleted file mode 100644 index eae2afc..0000000 --- a/doc/thesis/figures/data/qpsk_sim_const_static_firblock_nlos_halfsymb.py +++ /dev/null @@ -1,31 +0,0 @@ -#!/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 = 1e3 -end = start +800 - -# select every second samples -select_samples = lambda arr: arr[int(start):int(end):4] -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] - -# 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" -] - -# save to file -utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_dynamic_grblock_los_etsi_doppler5_k5.py b/doc/thesis/figures/data/qpsk_sim_dynamic_grblock_los_etsi_doppler5_k5.py new file mode 100644 index 0000000..eae2afc --- /dev/null +++ b/doc/thesis/figures/data/qpsk_sim_dynamic_grblock_los_etsi_doppler5_k5.py @@ -0,0 +1,31 @@ +#!/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 = 1e3 +end = start +800 + +# select every second samples +select_samples = lambda arr: arr[int(start):int(end):4] +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] + +# 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" +] + +# save to file +utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_dynamic_grblock_los_etsi_doppler70_k5.py b/doc/thesis/figures/data/qpsk_sim_dynamic_grblock_los_etsi_doppler70_k5.py new file mode 100644 index 0000000..eae2afc --- /dev/null +++ b/doc/thesis/figures/data/qpsk_sim_dynamic_grblock_los_etsi_doppler70_k5.py @@ -0,0 +1,31 @@ +#!/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 = 1e3 +end = start +800 + +# select every second samples +select_samples = lambda arr: arr[int(start):int(end):4] +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] + +# 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" +] + +# save to file +utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_dynamic_grblock_nlos_etsi_doppler5.py b/doc/thesis/figures/data/qpsk_sim_dynamic_grblock_nlos_etsi_doppler5.py new file mode 100644 index 0000000..eae2afc --- /dev/null +++ b/doc/thesis/figures/data/qpsk_sim_dynamic_grblock_nlos_etsi_doppler5.py @@ -0,0 +1,31 @@ +#!/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 = 1e3 +end = start +800 + +# select every second samples +select_samples = lambda arr: arr[int(start):int(end):4] +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] + +# 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" +] + +# save to file +utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_dynamic_grblock_nlos_etsi_doppler70.py b/doc/thesis/figures/data/qpsk_sim_dynamic_grblock_nlos_etsi_doppler70.py new file mode 100644 index 0000000..eae2afc --- /dev/null +++ b/doc/thesis/figures/data/qpsk_sim_dynamic_grblock_nlos_etsi_doppler70.py @@ -0,0 +1,31 @@ +#!/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 = 1e3 +end = start +800 + +# select every second samples +select_samples = lambda arr: arr[int(start):int(end):4] +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] + +# 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" +] + +# save to file +utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_nochannel.py b/doc/thesis/figures/data/qpsk_sim_nochannel.py new file mode 100644 index 0000000..a8170c6 --- /dev/null +++ b/doc/thesis/figures/data/qpsk_sim_nochannel.py @@ -0,0 +1,31 @@ +#!/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 = 1e3 +end = start +50 + +# select every second samples +select_samples = lambda arr: arr[int(start):int(end):2] +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] + +# 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" +] + +# save to file +utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_static_firblock_los_halfsymb.py b/doc/thesis/figures/data/qpsk_sim_static_firblock_los_halfsymb.py new file mode 100644 index 0000000..52a3916 --- /dev/null +++ b/doc/thesis/figures/data/qpsk_sim_static_firblock_los_halfsymb.py @@ -0,0 +1,31 @@ +#!/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 = 1e3 +end = start +400 + +# select every second samples +select_samples = lambda arr: arr[int(start):int(end):4] +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] + +# 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" +] + +# save to file +utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_static_firblock_los_vec.py b/doc/thesis/figures/data/qpsk_sim_static_firblock_los_vec.py new file mode 100644 index 0000000..eae2afc --- /dev/null +++ b/doc/thesis/figures/data/qpsk_sim_static_firblock_los_vec.py @@ -0,0 +1,31 @@ +#!/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 = 1e3 +end = start +800 + +# select every second samples +select_samples = lambda arr: arr[int(start):int(end):4] +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] + +# 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" +] + +# save to file +utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_static_firblock_nlos_halfsymb.py b/doc/thesis/figures/data/qpsk_sim_static_firblock_nlos_halfsymb.py new file mode 100644 index 0000000..52a3916 --- /dev/null +++ b/doc/thesis/figures/data/qpsk_sim_static_firblock_nlos_halfsymb.py @@ -0,0 +1,31 @@ +#!/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 = 1e3 +end = start +400 + +# select every second samples +select_samples = lambda arr: arr[int(start):int(end):4] +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] + +# 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" +] + +# save to file +utils.save_to_file(__file__, data, headers) diff --git a/doc/thesis/figures/data/qpsk_sim_static_firblock_nlos_vec.py b/doc/thesis/figures/data/qpsk_sim_static_firblock_nlos_vec.py new file mode 100644 index 0000000..eae2afc --- /dev/null +++ b/doc/thesis/figures/data/qpsk_sim_static_firblock_nlos_vec.py @@ -0,0 +1,31 @@ +#!/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 = 1e3 +end = start +800 + +# select every second samples +select_samples = lambda arr: arr[int(start):int(end):4] +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] + +# 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" +] + +# save to file +utils.save_to_file(__file__, data, headers) -- cgit v1.2.1