def setUp(self):
# Width of a complex number
self.width = 32
self.mwidth = 1
self.n = 8
if False:
executable, dit_inputfiles = generate('xilinx', self.n, self.width,
self.mwidth)
make_qa_dit(self.n, self.width, self.mwidth)
qa_dit_fn = os.path.join(config.builddir, 'fft', 'qa_dit.v')
b100.make_make('dit', dit_inputfiles + [qa_dit_fn])
b100.synthesise('dit')
b100.copy_image('dit')
def setUp(self):
# Width of a complex number
self.width = 32
self.mwidth = 1
self.n = 8
if False:
executable, dit_inputfiles = generate(
'xilinx', self.n, self.width, self.mwidth)
make_qa_dit(self.n, self.width, self.mwidth)
qa_dit_fn = os.path.join(config.builddir, 'fft', 'qa_dit.v')
b100.make_make('dit', dit_inputfiles + [qa_dit_fn])
b100.synthesise('dit')
b100.copy_image('dit')
def setUp(self):
# Number of channels
self.M = 4
self.logM = int(math.log(self.M)/math.log(2))
# The amount of data to send
self.n_data = self.M * 8
# Baseband sampling rate
self.fs = 1000
# Input samp rate to channelizer
self.ifs = self.M*self.fs
# Each channel contains a pure frequency with an offset and
# amplitude.
self.freqs = [0, 100, 200, -300]
self.amplitudes = [1, 1, -0.2, 0.5]
# Random number generator
rg = random.Random(0)
self.myrand = rg.random
self.myrandint = rg.randint
# Width of a complex number
self.width = 32
# Generate some taps
self.taps, self.tapscale = qach.get_channelizer_taps(self.M, n_taps=8)
# How often to send input.
# For large FFTs this must be larger since the speed scales as MlogM.
# Otherwise we get an overflow error.
self.sendnth = 2
# Get the input data
self.data = qach.get_mixed_sinusoids(self.fs, self.n_data, self.freqs, self.amplitudes)
# Scale the input data to remain in (-1 to 1)
datamax = 0
for d in self.data:
datamax = max(datamax, abs(d.real), abs(d.imag))
self.inputscale = datamax
self.data = [d/datamax for d in self.data]
# Send in some meta data
self.mwidth = 1
self.ms = [self.myrandint(0, 2) for d in self.data]
name = 'qachannelizer1'
executable, ds_inputfiles = data_source_generate(
name, self.data, self.ms, self.sendnth, self.width, self.mwidth)
executable, ch_inputfiles = channelizer_generate(
name, self.M, self.taps, self.width, self.mwidth,
{'sendnth': self.sendnth, 'n_data': self.n_data})
qa_channelizer_fn = os.path.join(config.builddir, 'channelizer', 'qa_channelizer.v')
b100.make_make('channelizer', ds_inputfiles + ch_inputfiles + [qa_channelizer_fn])
b100.synthesise('channelizer')
b100.copy_image('channelizer')
