From a7c7cf1186ec73786e6bbefb430c940c8747f857 Mon Sep 17 00:00:00 2001
From: Ben Reynwar <ben@reynwar.net>
Date: Thu, 7 Mar 2013 23:11:20 -0700
Subject: digital: Enabling uninstalled python imports.

---
 gr-digital/python/digital/qa_costas_loop_cc.py | 152 +++++++++++++++++++++++++
 1 file changed, 152 insertions(+)
 create mode 100755 gr-digital/python/digital/qa_costas_loop_cc.py

(limited to 'gr-digital/python/digital/qa_costas_loop_cc.py')

diff --git a/gr-digital/python/digital/qa_costas_loop_cc.py b/gr-digital/python/digital/qa_costas_loop_cc.py
new file mode 100755
index 0000000000..365eda736a
--- /dev/null
+++ b/gr-digital/python/digital/qa_costas_loop_cc.py
@@ -0,0 +1,152 @@
+#!/usr/bin/env python
+#
+# Copyright 2011 Free Software Foundation, Inc.
+# 
+# This file is part of GNU Radio
+# 
+# GNU Radio is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation; either version 3, or (at your option)
+# any later version.
+# 
+# GNU Radio is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+# 
+# You should have received a copy of the GNU General Public License
+# along with GNU Radio; see the file COPYING.  If not, write to
+# the Free Software Foundation, Inc., 51 Franklin Street,
+# Boston, MA 02110-1301, USA.
+# 
+
+from gnuradio import gr, gr_unittest
+import digital_swig as digital
+import psk
+import random, cmath
+
+class test_costas_loop_cc(gr_unittest.TestCase):
+
+    def setUp(self):
+        self.tb = gr.top_block()
+
+    def tearDown(self):
+        self.tb = None
+
+    def test01(self):
+        # test basic functionality by setting all gains to 0
+        natfreq = 0.0
+        order = 2
+        self.test = digital.costas_loop_cc(natfreq, order)
+
+        data = 100*[complex(1,0),]
+        self.src = gr.vector_source_c(data, False)
+        self.snk = gr.vector_sink_c()
+
+        self.tb.connect(self.src, self.test, self.snk)
+        self.tb.run()
+        
+        expected_result = data
+        dst_data = self.snk.data()
+        self.assertComplexTuplesAlmostEqual(expected_result, dst_data, 5)
+
+    def test02(self):
+        # Make sure it doesn't diverge given perfect data
+        natfreq = 0.25
+        order = 2
+        self.test = digital.costas_loop_cc(natfreq, order)
+
+        data = [complex(2*random.randint(0,1)-1, 0) for i in xrange(100)]
+        self.src = gr.vector_source_c(data, False)
+        self.snk = gr.vector_sink_c()
+
+        self.tb.connect(self.src, self.test, self.snk)
+        self.tb.run()
+
+        expected_result = data
+        dst_data = self.snk.data()
+
+        self.assertComplexTuplesAlmostEqual(expected_result, dst_data, 5)
+
+    def test03(self):
+        # BPSK Convergence test with static rotation
+        natfreq = 0.25
+        order = 2
+        self.test = digital.costas_loop_cc(natfreq, order)
+
+        rot = cmath.exp(0.2j) # some small rotation
+        data = [complex(2*random.randint(0,1)-1, 0) for i in xrange(100)]
+        
+        N = 40 # settling time
+        expected_result = data[N:]
+        data = [rot*d for d in data]
+
+        self.src = gr.vector_source_c(data, False)
+        self.snk = gr.vector_sink_c()
+
+        self.tb.connect(self.src, self.test, self.snk)
+        self.tb.run()
+
+        dst_data = self.snk.data()[N:]
+        
+        # generously compare results; the loop will converge near to, but
+        # not exactly on, the target data
+        self.assertComplexTuplesAlmostEqual(expected_result, dst_data, 2)
+
+    def test04(self):
+        # QPSK Convergence test with static rotation
+        natfreq = 0.25
+        order = 4
+        self.test = digital.costas_loop_cc(natfreq, order)
+
+        rot = cmath.exp(0.2j) # some small rotation
+        data = [complex(2*random.randint(0,1)-1, 2*random.randint(0,1)-1)
+                for i in xrange(100)]
+        
+        N = 40 # settling time
+        expected_result = data[N:]
+        data = [rot*d for d in data]
+
+        self.src = gr.vector_source_c(data, False)
+        self.snk = gr.vector_sink_c()
+
+        self.tb.connect(self.src, self.test, self.snk)
+        self.tb.run()
+
+        dst_data = self.snk.data()[N:]
+
+        # generously compare results; the loop will converge near to, but
+        # not exactly on, the target data
+        self.assertComplexTuplesAlmostEqual(expected_result, dst_data, 2)
+
+    def test05(self):
+        # 8PSK Convergence test with static rotation
+        natfreq = 0.25
+        order = 8
+        self.test = digital.costas_loop_cc(natfreq, order)
+
+        rot = cmath.exp(-cmath.pi/8.0j) # rotate to match Costas rotation
+        const = psk.psk_constellation(order)
+        data = [random.randint(0,7) for i in xrange(100)]
+        data = [2*rot*const.points()[d] for d in data]
+        
+        N = 40 # settling time
+        expected_result = data[N:]
+
+        rot = cmath.exp(0.1j) # some small rotation
+        data = [rot*d for d in data]
+
+        self.src = gr.vector_source_c(data, False)
+        self.snk = gr.vector_sink_c()
+
+        self.tb.connect(self.src, self.test, self.snk)
+        self.tb.run()
+
+        dst_data = self.snk.data()[N:]
+        
+	# generously compare results; the loop will converge near to, but
+        # not exactly on, the target data
+        self.assertComplexTuplesAlmostEqual(expected_result, dst_data, 2)
+
+if __name__ == '__main__':
+    gr_unittest.run(test_costas_loop_cc, "test_costas_loop_cc.xml")
-- 
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