5 files changed, 31 insertions, 0 deletions
diff --git a/doc/thesis/figures/data/flowgraphs/channel_qam_hw_lab.dat b/doc/thesis/figures/data/flowgraphs/channel_qam_hw_lab.dat
new file mode 100644
index 0000000..4a04026
--- /dev/null
+++ b/doc/thesis/figures/data/flowgraphs/channel_qam_hw_lab.dat
diff --git a/doc/thesis/figures/data/flowgraphs/equalized_qam_hw_lab.dat b/doc/thesis/figures/data/flowgraphs/equalized_qam_hw_lab.dat
new file mode 100644
index 0000000..fa4d8e5
--- /dev/null
+++ b/doc/thesis/figures/data/flowgraphs/equalized_qam_hw_lab.dat
diff --git a/doc/thesis/figures/data/flowgraphs/locked_qam_hw_lab.dat b/doc/thesis/figures/data/flowgraphs/locked_qam_hw_lab.dat
new file mode 100644
index 0000000..f3c9b92
--- /dev/null
+++ b/doc/thesis/figures/data/flowgraphs/locked_qam_hw_lab.dat
diff --git a/doc/thesis/figures/data/flowgraphs/synchronized_qam_hw_lab.dat b/doc/thesis/figures/data/flowgraphs/synchronized_qam_hw_lab.dat
new file mode 100644
index 0000000..cdbbe25
--- /dev/null
+++ b/doc/thesis/figures/data/flowgraphs/synchronized_qam_hw_lab.dat
diff --git a/doc/thesis/figures/data/qam_hw_lab.py b/doc/thesis/figures/data/qam_hw_lab.py
new file mode 100644
index 0000000..d49cfd1
--- /dev/null
+++ b/doc/thesis/figures/data/qam_hw_lab.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 = 20e3
+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]
+
+# 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)