def test_fir_filter_fff_001(self):
src_data = 40*[1, 2, 3, 4]
expected_data = (0.5, 1.5, 3.0, 5.0, 5.5, 6.5, 8.0, 10.0,
10.5, 11.5, 13.0, 15.0, 15.5, 16.5, 18.0,
20.0, 20.5, 21.5, 23.0, 25.0, 25.5, 26.5,
28.0, 30.0, 30.5, 31.5, 33.0, 35.0, 35.5,
36.5, 38.0, 40.0, 40.5, 41.5, 43.0, 45.0,
45.5, 46.5, 48.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0)
src = blocks.vector_source_f(src_data)
op = filter.fir_filter_fff(1, 20*[0.5, 0.5])
dst = blocks.vector_sink_f()
self.tb.connect(src, op, dst)
self.tb.run()
result_data = dst.data()
self.assertFloatTuplesAlmostEqual(expected_data, result_data, 5)
def test_fir_filter_fff_001(self):
src_data = 40*[1, 2, 3, 4]
expected_data = (0.5, 1.5, 3.0, 5.0, 5.5, 6.5, 8.0, 10.0,
10.5, 11.5, 13.0, 15.0, 15.5, 16.5, 18.0,
20.0, 20.5, 21.5, 23.0, 25.0, 25.5, 26.5,
28.0, 30.0, 30.5, 31.5, 33.0, 35.0, 35.5,
36.5, 38.0, 40.0, 40.5, 41.5, 43.0, 45.0,
45.5, 46.5, 48.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0)
src = gr.vector_source_f(src_data)
op = filter.fir_filter_fff(1, 20*[0.5, 0.5])
dst = gr.vector_sink_f()
self.tb.connect(src, op, dst)
self.tb.run()
result_data = dst.data()
self.assertFloatTuplesAlmostEqual(expected_data, result_data, 5)
def reference_dec_filter(src_data, decim, taps):
tb = gr.top_block()
src = gr.vector_source_f(src_data)
op = filter.fir_filter_fff(decim, taps)
dst = gr.vector_sink_f()
tb.connect(src, op, dst)
tb.run()
result_data = dst.data()
tb = None
return result_data
def reference_interp_dec_filter(src_data, interp, decim, taps):
tb = gr.top_block()
src = gr.vector_source_f(src_data)
up = filter.interp_fir_filter_fff(interp, (1,))
dn = filter.fir_filter_fff(decim, taps)
dst = gr.vector_sink_f()
tb.connect(src, up, dn, dst)
tb.run()
result_data = dst.data()
tb = None
return result_data
def reference_filter_fff(dec, taps, input):
"""
compute result using conventional fir filter
"""
tb = gr.top_block()
#src = gr.vector_source_f(((0,) * (len(taps) - 1)) + input)
src = gr.vector_source_f(input)
op = filter.fir_filter_fff(dec, taps)
dst = gr.vector_sink_f()
tb.connect(src, op, dst)
tb.run()
return dst.data()
def reference_filter_fff(dec, taps, input):
"""
compute result using conventional fir filter
"""
tb = gr.top_block()
#src = gr.vector_source_f(((0,) * (len(taps) - 1)) + input)
src = gr.vector_source_f(input)
op = filter.fir_filter_fff(dec, taps)
dst = gr.vector_sink_f()
tb.connect(src, op, dst)
tb.run()
return dst.data()
def test_fir_filter_fff_002(self):
src_data = 40*[1, 2, 3, 4]
expected_data = (0.5, 5.5, 10.5, 15.5, 20.5, 25.5, 30.5, 35.5,
40.5, 45.5, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0)
src = gr.vector_source_f(src_data)
op = filter.fir_filter_fff(4, 20*[0.5, 0.5])
dst = gr.vector_sink_f()
self.tb.connect(src, op, dst)
self.tb.run()
result_data = dst.data()
self.assertFloatTuplesAlmostEqual(expected_data, result_data, 5)
def test_fir_filter_fff_002(self):
src_data = 40*[1, 2, 3, 4]
expected_data = (0.5, 5.5, 10.5, 15.5, 20.5, 25.5, 30.5, 35.5,
40.5, 45.5, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0,
50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0)
src = blocks.vector_source_f(src_data)
op = filter.fir_filter_fff(4, 20*[0.5, 0.5])
dst = blocks.vector_sink_f()
self.tb.connect(src, op, dst)
self.tb.run()
result_data = dst.data()
self.assertFloatTuplesAlmostEqual(expected_data, result_data, 5)
