Rework GUI and DPDCE

1 files changed, 0 insertions, 85 deletions

diff --git a/python/dpd/store_received.py b/python/dpd/store_received.py
deleted file mode 100755
index 19b735e..0000000
--- a/python/dpd/store_received.py
+++ /dev/null
@@ -1,85 +0,0 @@
-#!/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.