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diff --git a/python/dpd/old/store_received.py b/python/dpd/old/store_received.py
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+++ b/python/dpd/old/store_received.py
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+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+# This is an example tool that shows how to connect to ODR-DabMod's dpd TCP server
+# and get samples from there.
+#
+# Since the TX and RX samples are not perfectly aligned, the tool has to align them properly,
+# which is done in two steps: First on sample-level using a correlation, then with subsample
+# accuracy using a FFT approach.
+#
+# It requires SciPy and matplotlib.
+#
+# Copyright (C) 2017 Matthias P. Braendli
+# http://www.opendigitalradio.org
+# Licence: The MIT License, see notice at the end of this file
+
+import sys
+import socket
+import struct
+import argparse
+import os
+import time
+from src.GlobalConfig import GlobalConfig
+from src.Measure import Measure
+
+SIZEOF_SAMPLE = 8 # complex floats
+
+parser = argparse.ArgumentParser(description="Plot the spectrum of ODR-DabMod's DPD feedback")
+parser.add_argument('--samps', default='10240', type=int,
+        help='Number of samples to request at once',
+        required=False)
+parser.add_argument('--port', default='50055', type=int,
+        help='port to connect to ODR-DabMod DPD (default: 50055)',
+        required=False)
+parser.add_argument('--count', default='1', type=int,
+        help='Number of recordings',
+        required=False)
+parser.add_argument('--verbose', type=int, default=0,
+        help='Level of verbosity',
+        required=False)
+parser.add_argument('--plot',
+                    help='Enable all plots, to be more selective choose plots in GlobalConfig.py',
+                    action="store_true")
+parser.add_argument('--samplerate', default=8192000, type=int,
+                    help='Sample rate',
+                    required=False)
+
+cli_args = parser.parse_args()
+
+cli_args.target_median = 0.05
+
+c = GlobalConfig(cli_args, None)
+
+meas = Measure(c, cli_args.samplerate, cli_args.port, cli_args.samps)
+
+for i in range(int(cli_args.count)):
+    if i>0:
+        time.sleep(0.1)
+
+    txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median = meas.get_samples()
+
+    txframe_aligned.tofile("%d_tx_record.iq" % i)
+    rxframe_aligned.tofile("%d_rx_record.iq" % i)
+
+# The MIT License (MIT)
+#
+# Copyright (c) 2018 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.