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diff --git a/gr-digital/python/qa_mpsk_snr_est.py b/gr-digital/python/qa_mpsk_snr_est.py
new file mode 100755
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+++ b/gr-digital/python/qa_mpsk_snr_est.py
@@ -0,0 +1,126 @@
+#!/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 math, random
+
+def get_cplx():
+    return complex(2*random.randint(0,1) - 1, 0)
+def get_n_cplx():
+    return complex(random.random()-0.5, random.random()-0.5)
+
+class test_mpsk_snr_est (gr_unittest.TestCase):
+    def setUp (self):
+        self.tb = gr.top_block ()
+
+        random.seed(0) # make repeatable
+        N = 10000
+        self._noise = [get_n_cplx() for i in xrange(N)]
+        self._bits = [get_cplx() for i in xrange(N)]
+
+    def tearDown (self):
+        self.tb = None
+
+    def mpsk_snr_est_setup (self, op):
+        result = []
+        for i in xrange(1,6):
+            src_data = [b+(i*n) for b,n in zip(self._bits, self._noise)]
+            
+            src = gr.vector_source_c (src_data)
+            dst = gr.null_sink (gr.sizeof_gr_complex)
+
+            tb = gr.top_block ()
+            tb.connect (src, op)
+            tb.connect (op, dst)
+            tb.run ()               # run the graph and wait for it to finish
+
+            result.append(op.snr())
+        return result
+            
+    def test_mpsk_snr_est_simple (self):
+	expected_result = [11.48, 5.91, 3.30, 2.08, 1.46]
+
+        N = 10000
+        alpha = 0.001
+        op = digital.mpsk_snr_est_cc (digital.SNR_EST_SIMPLE, N, alpha)
+
+        actual_result = self.mpsk_snr_est_setup(op)
+        self.assertFloatTuplesAlmostEqual (expected_result, actual_result, 2)
+
+    def test_mpsk_snr_est_skew (self):
+	expected_result = [11.48, 5.91, 3.30, 2.08, 1.46]
+
+        N = 10000
+        alpha = 0.001
+        op = digital.mpsk_snr_est_cc (digital.SNR_EST_SKEW, N, alpha)
+
+        actual_result = self.mpsk_snr_est_setup(op)
+        self.assertFloatTuplesAlmostEqual (expected_result, actual_result, 2)
+
+    def test_mpsk_snr_est_m2m4 (self):
+	expected_result = [11.02, 6.20, 4.98, 5.16, 5.66]
+
+        N = 10000
+        alpha = 0.001
+        op = digital.mpsk_snr_est_cc (digital.SNR_EST_M2M4, N, alpha)
+
+        actual_result = self.mpsk_snr_est_setup(op)
+        self.assertFloatTuplesAlmostEqual (expected_result, actual_result, 2)
+
+    def test_mpsk_snr_est_svn (self):
+	expected_result = [10.90, 6.00, 4.76, 4.97, 5.49]
+
+        N = 10000
+        alpha = 0.001
+        op = digital.mpsk_snr_est_cc (digital.SNR_EST_SVR, N, alpha)
+
+        actual_result = self.mpsk_snr_est_setup(op)
+        self.assertFloatTuplesAlmostEqual (expected_result, actual_result, 2)
+
+    def test_probe_mpsk_snr_est_m2m4 (self):
+	expected_result = [11.02, 6.20, 4.98, 5.16, 5.66]
+
+        actual_result = []
+        for i in xrange(1,6):
+            src_data = [b+(i*n) for b,n in zip(self._bits, self._noise)]
+            
+            src = gr.vector_source_c (src_data)
+
+            N = 10000
+            alpha = 0.001
+            op = digital.probe_mpsk_snr_est_c (digital.SNR_EST_M2M4, N, alpha)
+
+            tb = gr.top_block ()
+            tb.connect (src, op)
+            tb.run ()               # run the graph and wait for it to finish
+
+            actual_result.append(op.snr())
+        self.assertFloatTuplesAlmostEqual (expected_result, actual_result, 2)
+
+
+if __name__ == '__main__':
+    # Test various SNR estimators; we're not using a Gaussian
+    # noise source, so these estimates have no real meaning;
+    # just a sanity check.
+    gr_unittest.run(test_mpsk_snr_est, "test_mpsk_snr_est.xml")
+